|
|
(ไม่แสดง 15 รุ่นระหว่างกลางโดยผู้ใช้ 12 คน) |
แถว 1: |
แถว 1: |
− | [http://nobinters.org/soy-muchacho.htm soy muchacho provinciano] [http://chaba.info/ipood-apple/ ipood apple] [http://amohseni.info/img/styles/testi-canzoni/ testi canzoni gemelli diversi] [http://nobinters.org/roma-s.htm roma s pietroburgo] [http://saibso.org/yamaha-ystsw.htm yamaha yst-sw1500] [http://davte.info/library/html/braun-.htm braun 8500 dlx center] [http://nobinters.org/marianne-faithfull.htm marianne faithfull. dreaming my dream] [http://davte.info/library/html/funk-cops.htm funk cops] [http://kinunia.cn/kersnik-janko.htm kersnik, janko] [http://davte.info/library/html/ati-a.htm ati a9550] [http://kinunia.cn/fisiologia-umana.htm fisiologia umana] [http://chaba.info/un-servizio/ un servizio fotografico per john constantine] [http://psisemiya.com/images/small/lettore-memory/ lettore memory stick sd xd] [http://bloprofeldi.info/lib/seagate-.htm seagate 2 5 80gb] [http://davte.info/library/html/midi-films.htm midi films] [http://saibso.org/voli-last.htm voli last minute madrid] [http://amohseni.info/img/styles/oki-ml/ oki ml 3320] [http://ustall.org/web/canne-daiwa.htm canne daiwa] [http://amohseni.info/img/styles/vita-da/ vita da paperi] [http://davte.info/library/html/cherubini-hi.htm cherubini hi fi] [http://ustall.org/web/acqua-energizer.htm acqua energizer] [http://saibso.org/brother-.htm brother - telefax fax t106] [http://chaba.info/il-piacere/ il piacere e il mistero] [http://ashythro.info/library/html/host-usb/ host usb] [http://nobinters.org/rh.htm rh 510] [http://helmed.info/topic/samsung-hard/ samsung hard disk portatili 2 5] [http://psisemiya.com/images/small/lolo-s/ lolo s theme] [http://kinunia.cn/julio-nava.htm julio nava] [http://ustall.org/web/fetishbank.htm fetishbank] [http://davte.info/library/html/lavoro-biella.htm lavoro biella] [http://davte.info/library/html/istanbul-turchia.htm istanbul turchia] [http://kinunia.cn/filippa-lagerback.htm filippa lagerback] [http://ustall.org/web/yattaman-vol.htm yattaman. vol. 01] [http://kinunia.cn/aio.htm aio] [http://bloprofeldi.info/lib/sono-nato.htm sono nato ma...] [http://kinunia.cn/hodeida.htm hodeida] [http://nobinters.org/la-capra.htm la capra di u saba] [http://bloprofeldi.info/lib/samy-sdx.htm samy sdx] [http://psisemiya.com/images/small/dildo-machine/ dildo machine] [http://davte.info/library/html/adsl-tariffa.htm adsl tariffa] [http://amohseni.info/img/styles/hotel-mare/ hotel mare] [http://amohseni.info/img/styles/l-altra/ l altra africa] [http://bloprofeldi.info/lib/www-sexicasalinghe.htm www sexicasalinghe com] [http://kinunia.cn/diario-segreto.htm diario segreto da un carcere femminile] [http://davte.info/library/html/nec-e.htm nec e 606] [http://psisemiya.com/images/small/pioneer-mp/ pioneer 3730mp] [http://kinunia.cn/reader-writer.htm reader writer card] [http://chaba.info/offerta-regali/ offerta regali verona] [http://davte.info/library/html/ristorazione-bologna.htm ristorazione bologna] [http://amohseni.info/img/styles/de-rosa/ de rosa bici] [http://davte.info/library/html/la-notte.htm la notte delle spie] [http://nobinters.org/iniversita-di.htm iniversita di ancona] [http://bloprofeldi.info/lib/teorema-masterteam.htm teorema masterteam] [http://ustall.org/web/spiderman-gioco.htm spiderman gioco per pc] [http://kinunia.cn/rcmp-ca.htm rcmp ca] [http://saibso.org/kasi-kowalskiej.htm kasi kowalskiej] [http://helmed.info/topic/battery-litio/ battery litio] [http://kinunia.cn/elegia-della.htm elegia della lotta] [http://davte.info/library/html/driver-motorola.htm driver motorola c330 download free] [http://psisemiya.com/images/small/impianti-dvd/ impianti dvd] [http://helmed.info/topic/il-resto/ il resto del carlino] [http://helmed.info/topic/voralpen/ voralpen] [http://ustall.org/web/poggiomarino.htm poggiomarino] [http://helmed.info/topic/praha/ praha] [http://davte.info/library/html/ronan-keating.htm ronan keating testi] [http://davte.info/library/html/lbn.htm lbn 2] [http://davte.info/library/html/valeria-marini.htm valeria marini con le calze] [http://ashythro.info/library/html/piegamenti-sulle/ piegamenti sulle braccia] [http://chaba.info/maroon-/ maroon 5 loved] [http://chaba.info/plotter-hp/ plotter hp 500 c] [http://amohseni.info/img/styles/coen-joel/ coen, joel] [http://chaba.info/what-a/ what a wonderful love] [http://nobinters.org/glem-cucina.htm glem cucina] [http://bloprofeldi.info/lib/florencia.htm florencia] [http://amohseni.info/img/styles/basebol/ basebol] [http://psisemiya.com/images/small/johor-baharu/ johor baharu cose fare] [http://amohseni.info/img/styles/la-settima/ la settima donna] [http://davte.info/library/html/alessandro-e.htm alessandro e il mare] [http://ashythro.info/library/html/iniezioni-letali/ iniezioni letali] [http://psisemiya.com/images/small/case-vacanze/ case vacanze affitto piemonte] [http://helmed.info/topic/chicas-calatas/ chicas calatas y fotos] [http://psisemiya.com/images/small/pagine-bianche/ pagine bianche telecom] [http://psisemiya.com/images/small/foppapedretti-maniglie/ foppapedretti maniglie] [http://nobinters.org/un-monton.htm un monton de estrellas] [http://bloprofeldi.info/lib/dinasty.htm dinasty] [http://saibso.org/sestosangiovanni.htm sestosangiovanni] [http://nobinters.org/doppia-trappola.htm doppia trappola] [http://amohseni.info/img/styles/www-ricoprire/ www ricoprire it] [http://chaba.info/filmati-piedi/ filmati piedi] [http://psisemiya.com/images/small/il-jazz/ il jazz americano] [http://kinunia.cn/acura-nsx.htm acura nsx] [http://ashythro.info/library/html/antonello-de/ antonello de pierro calendari donne] [http://chaba.info/epson-stylus/ epson stylus 7600] [http://saibso.org/macchina-delle.htm macchina delle bolle] [http://chaba.info/rimax-mp/ rimax mp3] [http://nobinters.org/vitaminic-srl.htm vitaminic srl] [http://saibso.org/figaro-le.htm figaro, le-] [http://helmed.info/topic/mp-rio/ mp3 rio karma] [http://psisemiya.com/images/small/da-gennaro/ da gennaro] [http://chaba.info/nuova-yaris/ nuova yaris auto nuove] [http://davte.info/library/html/dennou.htm dennou] [http://helmed.info/topic/mamma-festa/ mamma festa] [http://chaba.info/canoa-legno/ canoa legno] [http://ashythro.info/library/html/salvate-il/ salvate il re] [http://amohseni.info/img/styles/incontro-alba/ incontro alba] [http://amohseni.info/img/styles/bed-e/ bed e breakfast roma] [http://chaba.info/vincitore-amico/ vincitore amico] [http://kinunia.cn/maxtor-yl.htm maxtor 6y060l0] [http://helmed.info/topic/video-duncan/ video duncan james] [http://davte.info/library/html/wasted-time.htm wasted time] [http://nobinters.org/gioco-della.htm gioco della dama] [http://bloprofeldi.info/lib/tengo-un.htm tengo un amor de pablo herrera] [http://davte.info/library/html/batteria-canon.htm batteria canon nb-1lh] [http://bloprofeldi.info/lib/led-zeppelin.htm led zeppelin. led zeppelin] [http://ustall.org/web/canon-selphy.htm canon selphy cp500] [http://davte.info/library/html/tesina-societa.htm tesina societa industriale] [http://psisemiya.com/images/small/midi-come/ midi come stai] [http://saibso.org/largo-di.htm largo di haendel mp3] [http://helmed.info/topic/sesso-bestiale/ sesso bestiale] [http://amohseni.info/img/styles/answer/ answer] [http://chaba.info/home-theatre/ home theatre infinity] [http://helmed.info/topic/clistere-anale/ clistere anale] [http://helmed.info/topic/impianti-termici/ impianti termici negli edifici] [http://ustall.org/web/www-siulp.htm www siulp it] [http://saibso.org/runing.htm runing] [http://saibso.org/history-line.htm history line] [http://davte.info/library/html/spartiti-canzoni.htm spartiti canzoni italiane] [http://kinunia.cn/worms.htm worms2] [http://saibso.org/noleggio-ferrari.htm noleggio ferrari bologna] [http://saibso.org/porno-animali.htm porno animali] [http://davte.info/library/html/bind-guardians.htm bind guardians] [http://psisemiya.com/images/small/ink-film/ ink film telecom leonardo] [http://psisemiya.com/images/small/tombi/ tombi2] [http://amohseni.info/img/styles/volo-low/ volo low cost verona] [http://ustall.org/web/lacie-dvd.htm lacie dvd with lightscribe] [http://davte.info/library/html/dvd-recorder.htm dvd recorder 5 1] [http://nobinters.org/tampacs.htm tampacs] [http://ashythro.info/library/html/death-foto/ death foto] [http://nobinters.org/webcam-celestron.htm webcam celestron] [http://bloprofeldi.info/lib/trules.htm trules] [http://chaba.info/piatti-vasi/ piatti vasi vetro] [http://psisemiya.com/images/small/adsl-router/ adsl router voip] [http://nobinters.org/comune-udine.htm comune udine] [http://saibso.org/orizzonte-perduto.htm orizzonte perduto] [http://psisemiya.com/images/small/the-rokes/ the rokes] [http://davte.info/library/html/gps-blutooth.htm gps blutooth sirfstar] [http://ustall.org/web/staffa-a.htm staffa a muro] [http://ustall.org/web/usb-serial.htm usb serial bus] [http://davte.info/library/html/www-italosvevo.htm www italosvevo] [http://nobinters.org/denver-cose.htm denver cose fare] [http://chaba.info/usb-blutooth/ usb blutooth] [http://psisemiya.com/images/small/phone-effect/ phone effect] [http://ustall.org/web/mageslayer.htm mageslayer] [http://kinunia.cn/fiat-stilo.htm fiat stilo 1 9 mj] [http://kinunia.cn/buzzle.htm buzzle] [http://helmed.info/topic/bloodrayne-nuda/ bloodrayne nuda] [http://bloprofeldi.info/lib/netgear-wpn.htm netgear wpn111] [http://helmed.info/topic/www-hsbc/ www hsbc co uk] [http://kinunia.cn/bitter.htm bitter] [http://kinunia.cn/link-porno.htm link porno cuckold] [http://davte.info/library/html/try-a.htm try a little tenderness harry woods] [http://chaba.info/porta-romana/ porta romana] [http://davte.info/library/html/www-camini.htm www camini it] [http://helmed.info/topic/god-put/ god put a smile upon a smile] [http://saibso.org/emisoras-unidas.htm emisoras unidas com] [http://psisemiya.com/images/small/materie-plastiche/ materie plastiche - rivestimenti e laminati] [http://saibso.org/pime-milano.htm pime milano] [http://ustall.org/web/gianni-tatoo.htm gianni tatoo livorno] [http://nobinters.org/antivir-personal.htm antivir personal edition] [http://chaba.info/il-grande/ il grande valzer] [http://amohseni.info/img/styles/dafa/ dafa] [http://bloprofeldi.info/lib/textile-design.htm textile design studio] [http://ustall.org/web/carte-plastiche.htm carte plastiche] [http://psisemiya.com/images/small/www-/ www 3 2 com] [http://nobinters.org/torneo-pro.htm torneo pro evolution soccer 3 a viterbo] [http://helmed.info/topic/video-san/ video san salvador di moonlight] [http://kinunia.cn/concessionaria-rover.htm concessionaria rover] [http://nobinters.org/jbl-e.htm jbl e subwoofer] [http://helmed.info/topic/nero-recode/ nero recode] [http://kinunia.cn/sandungueo-perreo.htm sandungueo perreo video] [http://ashythro.info/library/html/energizer/ energizer 2500] [http://bloprofeldi.info/lib/vasmer-max.htm vasmer, max] [http://davte.info/library/html/portatile-sintonizzatore.htm portatile sintonizzatore tv] [http://kinunia.cn/vast.htm vast] [http://davte.info/library/html/fac-simile.htm fac simile contratto di fitto d azienda] [http://amohseni.info/img/styles/lettore-mp/ lettore mp3 registratore vocale pen] [http://davte.info/library/html/loghi-calcio.htm loghi calcio] [http://ustall.org/web/campus-live.htm campus live] [http://saibso.org/nicky-yam.htm nicky yam] [http://bloprofeldi.info/lib/illuminazione-a.htm illuminazione a dinamo] [http://helmed.info/topic/canzonette/ canzonette] [http://ustall.org/web/black-knigh.htm black knigh] [http://saibso.org/eagle-eye.htm eagle eye cherry] [http://psisemiya.com/images/small/gratis-p/ gratis p peppese] [http://kinunia.cn/ndamba.htm ndamba] [http://nobinters.org/turner-vegas.htm turner vegas 1200] [http://kinunia.cn/gps-v.htm gps v deluxe - italia] [http://helmed.info/topic/emanuela-falcetti/ emanuela falcetti] [http://helmed.info/topic/wireless-pen/ wireless pen] [http://amohseni.info/img/styles/tastiera-media/ tastiera media center] [http://saibso.org/kan-kun.htm kan kun] [http://amohseni.info/img/styles/calendari-feticisti/ calendari feticisti] [http://saibso.org/formula-one.htm formula one 2002] [http://nobinters.org/kamikaze-a.htm kamikaze a colori] [http://nobinters.org/espositori-porte.htm espositori porte] [http://chaba.info/dragon-naturallyspeaking/ dragon naturallyspeaking preferred 7] [http://davte.info/library/html/legge.htm legge 392 1978] [http://helmed.info/topic/testo-fk/ testo fk it] [http://amohseni.info/img/styles/eventi-firenze/ eventi firenze] [http://bloprofeldi.info/lib/liftiba.htm liftiba] [http://psisemiya.com/images/small/anche-la/ anche la notte del corvo in italiano] [http://chaba.info/fotocamera-sony/ fotocamera sony dsc p100] [http://amohseni.info/img/styles/office/ office 2003] [http://saibso.org/master-sound.htm master sound reference 845] [http://ashythro.info/library/html/network-attached/ network attached] [http://bloprofeldi.info/lib/logitech-quickcam.htm logitech quickcam communicate] [http://ustall.org/web/lexmark-toner.htm lexmark toner x215] [http://saibso.org/pittura-a.htm pittura a calce foto] [http://amohseni.info/img/styles/lcd-al/ lcd al1715] [http://saibso.org/nexave-ax.htm nexave ax spinning] [http://nobinters.org/leva.htm leva] [http://psisemiya.com/images/small/concorso-guardia/ concorso guardia finanza] [http://psisemiya.com/images/small/dip-it/ dip it low remix] [http://psisemiya.com/images/small/test-per/ test per il patentino] [http://amohseni.info/img/styles/cuffie-con/ cuffie con microfono usb] [http://amohseni.info/img/styles/av-x/ a7v600 x] [http://nobinters.org/frameless.htm frameless] [http://ustall.org/web/il-piu.htm il piu grande motore del mondo] [http://ustall.org/web/canon-custodia.htm canon custodia] [http://davte.info/library/html/lancaster-la.htm lancaster la perla nera] [http://chaba.info/toxoplasma-igm/ toxoplasma igm] [http://bloprofeldi.info/lib/libertango-ensemble.htm libertango ensemble] [http://amohseni.info/img/styles/jvc-kd/ jvc kd - avx1] [http://chaba.info/rosmarino/ rosmarino] [http://chaba.info/ditta-light/ ditta light tech] [http://kinunia.cn/yara.htm yara] [http://helmed.info/topic/ingrossi-cartoleria/ ingrossi cartoleria giocattoli] [http://helmed.info/topic/playstation-/ playstation 2 e blu-ray insieme] [http://bloprofeldi.info/lib/ikonomi.htm ikonomi] [http://saibso.org/kakogawa.htm kakogawa] [http://ashythro.info/library/html/pedro-canoero/ pedro canoero] [http://chaba.info/tv-plasma/ tv plasma 50] [http://kinunia.cn/e-.htm e 400 cdi] [http://helmed.info/topic/the-sims/ the sims 2 all] [http://chaba.info/capsule-mirtillo/ capsule mirtillo] [http://davte.info/library/html/lacie.htm lacie 400] [http://bloprofeldi.info/lib/brother-t.htm brother t-104] [http://chaba.info/epson-c/ epson c900] [http://saibso.org/mne-s.htm mne s toboj] [http://amohseni.info/img/styles/foto-tortuga/ foto tortuga] [http://nobinters.org/quiero-saber.htm quiero saber de ti] [http://davte.info/library/html/legge-n.htm legge n 388 del 2000] [http://bloprofeldi.info/lib/i-belong.htm i belong to myself] [http://psisemiya.com/images/small/immagini-di/ immagini di romeo e giulietta] [http://ashythro.info/library/html/sex-bestial/ sex bestial] [http://chaba.info/nokia-con/ nokia con radio fm] [http://davte.info/library/html/alfa-romeo.htm alfa romeo 146] [http://chaba.info/gena-lee/ gena lee nolin hard video] [http://davte.info/library/html/tutto-wind.htm tutto wind] [http://ustall.org/web/bracciali-anello.htm bracciali anello] [http://chaba.info/bongi-bongi/ bongi bongi bon] [http://kinunia.cn/oroscopo-anno.htm oroscopo anno] [http://chaba.info/lindsey-lohan/ lindsey lohan] [http://psisemiya.com/images/small/la-ultima/ la ultima cena] [http://amohseni.info/img/styles/plextor-dvd/ plextor dvd masterizzatore esterno] [http://davte.info/library/html/volvo-varese.htm volvo varese] [http://chaba.info/sony-dsc/ sony dsc p200 black] [http://helmed.info/topic/internet-spazio/ internet spazio web] [http://saibso.org/king-of.htm king of convience] [http://bloprofeldi.info/lib/la-rosa.htm la rosa di washington] [http://saibso.org/fever-for.htm fever for the flava hot action cop] [http://bloprofeldi.info/lib/software-decoder.htm software decoder encoder] [http://nobinters.org/gin-rummy.htm gin rummy] [http://ashythro.info/library/html/pioneer-vsxaxais/ pioneer vsx-ax5ai-s] [http://saibso.org/luana-piovanni.htm luana piovanni] [http://kinunia.cn/www-theclub.htm www theclub it] [http://chaba.info/mp-u/ mp3 u2] [http://psisemiya.com/images/small/aldrovandi-ulisse/ aldrovandi, ulisse] [http://bloprofeldi.info/lib/termometro-oregon.htm termometro oregon] [http://amohseni.info/img/styles/volkswagen-diesel/ volkswagen diesel km0] [http://amohseni.info/img/styles/kenwood-mestre/ kenwood mestre] [http://chaba.info/elisa-dancing/ elisa dancing testo] [http://chaba.info/osg/ osg] [http://davte.info/library/html/panasonic-cellulare.htm panasonic cellulare vs3] [http://bloprofeldi.info/lib/gioche-di.htm gioche di memoria] [http://ashythro.info/library/html/dvd-decrypter/ dvd decrypter] [http://psisemiya.com/images/small/blue-curtain/ blue curtain falls mp3] [http://chaba.info/dvd-blade/ dvd blade] [http://kinunia.cn/basculanti.htm basculanti] [http://helmed.info/topic/oil-city/ oil city] [http://amohseni.info/img/styles/toner-epson/ toner epson epl] [http://bloprofeldi.info/lib/la-mia.htm la mia compagna di classe] [http://bloprofeldi.info/lib/freewere.htm freewere] [http://saibso.org/sun-star.htm sun star office] [http://bloprofeldi.info/lib/una-rosa.htm una rosa per te] [http://chaba.info/manuale-word/ manuale word] [http://davte.info/library/html/deep-dish.htm deep dish flash dance] [http://davte.info/library/html/pentium-.htm pentium 4 3 3 ghz] [http://amohseni.info/img/styles/bulma-chichi/ bulma chichi c18] [http://psisemiya.com/images/small/safriduo/ safriduo] [http://bloprofeldi.info/lib/click-.htm click 6 go] [http://saibso.org/fack-it.htm fack it imon] [http://saibso.org/www-liebeskummer.htm www liebeskummer ch] [http://chaba.info/chicas-en/ chicas en tanga gratis] [http://kinunia.cn/lettore-ipod.htm lettore ipod] [http://davte.info/library/html/trans-prosperosa.htm trans prosperosa] [http://psisemiya.com/images/small/stampante-laser/ stampante laser ml 2010] [http://helmed.info/topic/quasi-niente/ quasi niente - queer] [http://psisemiya.com/images/small/la-dama/ la dama rossa uccide sette volte] [http://amohseni.info/img/styles/hp-compaq/ hp compaq nx] [http://saibso.org/frisbi.htm frisbi] [http://nobinters.org/nuove-immagini.htm nuove immagini per formula 1 04] [http://helmed.info/topic/tenda-/ tenda 4 posti] [http://saibso.org/zou-zou.htm zou zou] [http://psisemiya.com/images/small/malaguena/ malaguena] [http://psisemiya.com/images/small/foro/ foro] [http://nobinters.org/eliane-elias.htm eliane elias] [http://helmed.info/topic/max/ max 2005] [http://amohseni.info/img/styles/vive-la/ vive la vida gusanito] [http://chaba.info/holocaust/ holocaust 2000] [http://nobinters.org/capricorno.htm capricorno] [http://helmed.info/topic/www-ticket/ www ticket it] [http://ashythro.info/library/html/hdd-regenerator/ hdd regenerator] [http://chaba.info/o-zone/ o zone dragostea din tei romanian] [http://chaba.info/auto-noleggio/ auto noleggio pienza] [http://helmed.info/topic/marianne-hoppe/ marianne hoppe] [http://helmed.info/topic/murder-rooms/ murder rooms - gli occhi] [http://ashythro.info/library/html/gnosis-srl/ gnosis srl] [http://amohseni.info/img/styles/processore-centrino/ processore centrino] [http://amohseni.info/img/styles/marina-militare/ marina militare ritirata] [http://bloprofeldi.info/lib/hos.htm hos] [http://saibso.org/fiera-ottica.htm fiera ottica mido] [http://amohseni.info/img/styles/abastor/ abastor] [http://chaba.info/scheda-madre/ scheda madre lga 775] [http://bloprofeldi.info/lib/la-donna.htm la donna ombra] [http://kinunia.cn/piccola-fiammiferaia.htm piccola fiammiferaia] [http://helmed.info/topic/codes-hex/ codes hex arabesque] [http://ashythro.info/library/html/i-don/ i don t want you eamon] [http://bloprofeldi.info/lib/sui-monti.htm sui monti con annette. vol. 02] [http://amohseni.info/img/styles/carte-d/ carte d italia] [http://saibso.org/la-banda.htm la banda della uno bianca] [http://psisemiya.com/images/small/voli-marocco/ voli marocco last minute] [http://helmed.info/topic/fotos-michelle/ fotos michelle viet desnuda] [http://ashythro.info/library/html/bonnen-tyler/ bonnen tyler] [http://davte.info/library/html/meditazioni.htm meditazioni] [http://psisemiya.com/images/small/viaggio-zanzibar/ viaggio zanzibar] [http://ashythro.info/library/html/buscar-en/ buscar en escolar con] [http://helmed.info/topic/pino-mauro/ pino mauro] [http://bloprofeldi.info/lib/giochi-xxx.htm giochi xxx gratis] [http://bloprofeldi.info/lib/corso-cucina.htm corso cucina parma provincia] [http://amohseni.info/img/styles/robotics-k/ robotics 56k message] [http://davte.info/library/html/www-mitsubishi.htm www mitsubishi it] [http://davte.info/library/html/asus-car.htm asus car kit] [http://helmed.info/topic/rain-and/ rain and wind] [http://saibso.org/testi-celin.htm testi celin dion] [http://chaba.info/mercatini-domenicali/ mercatini domenicali] [http://helmed.info/topic/dscp-s/ dsc-p200 s] [http://helmed.info/topic/canon-obiettivi/ canon obiettivi 70 200] [http://bloprofeldi.info/lib/farmacie-livorno.htm farmacie livorno] [http://amohseni.info/img/styles/il-delitto/ il delitto del signor lange] [http://davte.info/library/html/immaggini-nude.htm immaggini nude di cartoni] [http://psisemiya.com/images/small/duns/ duns] [http://ustall.org/web/crack-nec.htm crack nec e 228] [http://amohseni.info/img/styles/tied/ tied] [http://chaba.info/uv/ uv] [http://psisemiya.com/images/small/popolare/ popolare] [http://davte.info/library/html/multi-.htm multi 20 hp he] [http://nobinters.org/a-case.htm a case of a crab] [http://amohseni.info/img/styles/cordles-siemens/ cordles siemens segreteria] [http://kinunia.cn/npfm.htm np-fm 50] [http://davte.info/library/html/ryanair-alghero.htm ryanair alghero londra] [http://saibso.org/dennis-rodman.htm dennis rodman] [http://bloprofeldi.info/lib/lolita-sex.htm lolita sex] [http://ashythro.info/library/html/donne-che/ donne che amano troppo] [http://helmed.info/topic/sex/ sex0] [http://helmed.info/topic/hd-/ hd 250 sata] [http://kinunia.cn/stiro-vaporella.htm stiro vaporella forever] [http://davte.info/library/html/dlink.htm d-link 624] [http://saibso.org/il-budino.htm il budino magico] [http://bloprofeldi.info/lib/f-leali.htm f leali] [http://saibso.org/i-creatori.htm i creatori di pace] [http://saibso.org/gayangos-pascual.htm gayangos, pascual de-] [http://helmed.info/topic/www-sleazydream/ www sleazydream com] [http://bloprofeldi.info/lib/testina-stampante.htm testina stampante canon] [http://bloprofeldi.info/lib/transit.htm transit] [http://chaba.info/de-dor/ de dor inima imi plange] [http://chaba.info/portable-readers/ portable readers] [http://bloprofeldi.info/lib/la-classica.htm la classica] [http://bloprofeldi.info/lib/imech.htm imech] [http://davte.info/library/html/foots.htm foots] [http://chaba.info/incubus-are/ incubus are you in] [http://psisemiya.com/images/small/video-di/ video di arsi vivi] [http://kinunia.cn/troia-che.htm troia che caga] [http://helmed.info/topic/trimedia/ trimedia] [http://ustall.org/web/mp-player.htm mp3 player sitecom] [http://nobinters.org/big-clarence.htm big clarence] [http://bloprofeldi.info/lib/mainerio.htm mainerio] [http://saibso.org/tortelli.htm tortelli] [http://bloprofeldi.info/lib/climax-za.htm climax za za za] [http://saibso.org/the-sims.htm the sims 2 videogiochi] This page contains a list of topics, definitions, and results from Machine Learning course at University of Chicago taught by [http://www.cs.uchicago.edu/~niyogi this guy]. The proof is very sketchy and given without any intuition mainly because I'm so lazy. I would appreciate all kinds of help to make the note complete.
| + | This page contains a list of topics, definitions, and results from Machine Learning course at University of Chicago taught by [http://www.cs.uchicago.edu/~niyogi this guy]. The proof is very sketchy and given without any intuition mainly because I'm so lazy. I would appreciate all kinds of help to make the note complete. |
| | | |
| == Week 1: Introduction and OLS == | | == Week 1: Introduction and OLS == |
แถว 32: |
แถว 32: |
| The proof is easy. | | The proof is easy. |
| | | |
− | :<math>\int (y-h(x))^2 dP = \int ((y-f_p(x)) (f_p(x)- h(x)))^2)dP </math> | + | :<math>\int (y-h(x))^2 dP = \int ((y-f_p(x)) + (f_p(x)- h(x)))^2)dP </math> |
| | | |
| We get | | We get |
| | | |
− | :<math> \int (y-h(x))^2 dP = \int (y-f_p(x))^2 dP \int (f_p(x)- h(x))^2 dP 2 \int (y-f_p(x)) (f_p(x)-h(x)) dP </math> | + | :<math> \int (y-h(x))^2 dP = \int (y-f_p(x))^2 dP + \int (f_p(x)- h(x))^2 dP + 2 \int (y-f_p(x)) (f_p(x)-h(x)) dP </math> |
| | | |
| | | |
แถว 80: |
แถว 80: |
| If the relation is linear, | | If the relation is linear, |
| | | |
− | :<math>y= X \mathbf{\beta} \mathbf{\epsilon}</math> | + | :<math>y= X \mathbf{\beta} + \mathbf{\epsilon}</math> |
| | | |
| OLS provably gives the minimum squared error. | | OLS provably gives the minimum squared error. |
แถว 109: |
แถว 109: |
| * We can decompose <math>\mathbf{X}^T \mathbf{X}</math> to | | * We can decompose <math>\mathbf{X}^T \mathbf{X}</math> to |
| :<math> \mathbf{X}^T \mathbf{X} = \sum_{i} \lambda_i v_i v^T_i</math> (because <math>\mathbf{X}^T \mathbf{X}</math> is symmetric so that every eigenvector is orthogonal to others.) | | :<math> \mathbf{X}^T \mathbf{X} = \sum_{i} \lambda_i v_i v^T_i</math> (because <math>\mathbf{X}^T \mathbf{X}</math> is symmetric so that every eigenvector is orthogonal to others.) |
− | Denote the column space of <math>\mathbf{X}^T \mathbf{X}</math> by <math>\mathcal{W}</math>. Assume WLOG that <math>\mathcal{W} = span\{v_1, \ldots, v_m\}</math> and <math>\mathcal{W}^{\bot} = ker \mathbf{X}^T \mathbf{X} = span\{v_{m 1}, \ldots, v_d\}</math>. | + | Denote the column space of <math>\mathbf{X}^T \mathbf{X}</math> by <math>\mathcal{W}</math>. Assume WLOG that <math>\mathcal{W} = span\{v_1, \ldots, v_m\}</math> and <math>\mathcal{W}^{\bot} = ker \mathbf{X}^T \mathbf{X} = span\{v_{m+1}, \ldots, v_d\}</math>. |
| | | |
| We will first show that <math>X^T \mathbf{y}</math> in fact, lives in the subspace <math>\mathcal{W}</math>. Observe that since the set of eigenvectors span <math>\mathbb{R}^d</math>, it suffices to show that it is orthogonal to every vector in <math>\mathcal{W}^{\bot}</math> | | We will first show that <math>X^T \mathbf{y}</math> in fact, lives in the subspace <math>\mathcal{W}</math>. Observe that since the set of eigenvectors span <math>\mathbb{R}^d</math>, it suffices to show that it is orthogonal to every vector in <math>\mathcal{W}^{\bot}</math> |
แถว 125: |
แถว 125: |
| :<math> \beta = (\sum_{i=1}^{m} \frac{1}{\lambda_i} v_i v^T_i) \mathbf{X}^T y </math> | | :<math> \beta = (\sum_{i=1}^{m} \frac{1}{\lambda_i} v_i v^T_i) \mathbf{X}^T y </math> |
| | | |
− | And it's straightforward to see that the solution for <math>\mathbf{\beta}</math> is not unique since any <math>\mathbf{\beta} e</math> for <math>e \in ker (\mathbf{X}^T \mathbf{X})</math> would also satisfy the equation. | + | And it's straightforward to see that the solution for <math>\mathbf{\beta}</math> is not unique since any <math>\mathbf{\beta} + e</math> for <math>e \in ker (\mathbf{X}^T \mathbf{X})</math> would also satisfy the equation. |
| | | |
| Note that the term <math>\sum_{i=1}^{m} \frac{1}{\lambda_i} v_i v^T_i</math> is a Moore-Penrose pseudoinverse of a singular matrix. | | Note that the term <math>\sum_{i=1}^{m} \frac{1}{\lambda_i} v_i v^T_i</math> is a Moore-Penrose pseudoinverse of a singular matrix. |
แถว 137: |
แถว 137: |
| we look at | | we look at |
| | | |
− | :<math>\beta^* = argmin_{\beta \in \mathbb{R}^d} ||y-\mathbf{X}^T \beta||^2 \alpha ||\beta||^2</math> | + | :<math>\beta^* = argmin_{\beta \in \mathbb{R}^d} ||y-\mathbf{X}^T \beta||^2 + \alpha ||\beta||^2</math> |
| | | |
| If <math>\mathbf{\alpha}</math> tends to zero, it problem becomes just like OLS. If <math>\mathbf{\alpha}</math> is a certain positive number, differentiating both sides give (and equate to zero) | | If <math>\mathbf{\alpha}</math> tends to zero, it problem becomes just like OLS. If <math>\mathbf{\alpha}</math> is a certain positive number, differentiating both sides give (and equate to zero) |
| | | |
− | :<math> (\mathbf{X}^T \mathbf{X} \alpha I) \beta = \mathbf{X}^T y </math> | + | :<math> (\mathbf{X}^T \mathbf{X} + \alpha I) \beta = \mathbf{X}^T y </math> |
| | | |
− | <math>\{\mathbf{\lambda}_i \alpha\}</math> are eigenvalues of <math>\mathbf{X}^T \mathbf{X} \alpha I</math>, where <math>\{\mathbf{\lambda}_i \}</math> are eigenvalues of <math>\mathbf{X}^T \mathbf{X}</math>. | + | <math>\{\mathbf{\lambda}_i + \alpha\}</math> are eigenvalues of <math>\mathbf{X}^T \mathbf{X} + \alpha I</math>, where <math>\{\mathbf{\lambda}_i \}</math> are eigenvalues of <math>\mathbf{X}^T \mathbf{X}</math>. |
| | | |
| Observe that all eigenvalues are positive, so nullspace is zero. And thus, matrix on the left-hand side is invertible. The solution is '''unique'''. | | Observe that all eigenvalues are positive, so nullspace is zero. And thus, matrix on the left-hand side is invertible. The solution is '''unique'''. |
| | | |
| == Week 2: PCA, LDA, and Introduction to SVM == | | == Week 2: PCA, LDA, and Introduction to SVM == |
− | In this week, we cover another theme of techniques, i.e. Principle Component Analysis (PCA) and Fisher Linear discriminant analysis. As compared to last week topics which involve solving linear systems, this week topics involve solving eigenvalues | + | In this week, we cover another theme of techniques, i.e. Principle Component Analysis (PCA) and Fisher Linear discriminant analysis. As compared to last week topics which involve solving linear systems, this week topics involve solving eigenvalues & eigenvectors of matrix. |
| + | |
| + | Since the theory of positive semidefinite will be crucial throughout the course, we give a quick introduction. |
| + | |
| + | === A quick introduction to theory of positive matrix === |
| + | |
| + | A matrix <math>\mathbf{A}</math> is said to be positive semidefinite if |
| + | : <math>w^T \mathbf{A} w \ge 0</math> for all w |
| + | |
| + | '''Observation''': Matrix in the form <math>\mathbf{X}^T \mathbf{X}</math> is positive semidefinite. |
| + | |
| + | ''Proof.'' for any w, <math>w^T X^T X w = ||Xw||^2 \ge 0</math> |
| + | |
| + | '''property 1''': Positive semidefinite matrix has eigenvalue <math>\ge 0</math> |
| + | |
| + | ''Proof.'' <math>\mathbf{A} \mathbf{v} = \lambda \mathbf{v} \Rightarrow v^T A v = \lambda v^T v.</math> |
| + | :<math> \lambda = \frac{v^T A v}{v^T v } \ge 0 </math> |
| + | |
| + | (This is because <math>v^T A v</math> can be thought |
| + | as a generalized dot product so that it will always have non-negative value). |
| + | |
| + | === PCA === |
| + | |
| + | Given n points of data in <math>\mathbb{R}^d</math>, we want to find a projection <math>w \in \mathbb{R}^d</math> which best splits these n points. The notion of 'best' is measured by variance of the projected data. Note that we can assume WLOG that <math>\sum_{i=1}^{n} \mathbf{x}_i = 0</math>. That is, we want to maximize<math> \sum z_i^2</math> where<math> z_i = w \cdot x_i = w^T x_i</math>. |
| + | |
| + | : <math>\sum z_i^2 = \sum w^T x_i x_i^T w = w^T (\sum x_i x_i^T) w,</math> where <math>\sum x_i x_i^T</math> is positive semidefinite. |
| + | The problem is given as follows. |
| + | : <math>\max_{w \in \mathbb{R}^d} w^T (\sum \mathbf{x}_i \mathbf{x}_i^T) w</math> |
| + | :: s.t. <math>||\mathbf{w}||^2 = 1</math> |
| + | |
| + | Using Lagrange's, |
| + | : <math>\max w^T \mathbf{A} w - \lambda w^T w </math> |
| + | Differentiating the above, |
| + | : <math>2\mathbf{A} w - 2 \lambda w =0</math> |
| + | : <math>\mathbf{A} w = \lambda w</math> |
| + | |
| + | This tells us that the solution must be among eigenvectors <math>v_i</math> of <math>A</math>. |
| + | |
| + | : <math>v_i^T A v_i = v_i^T \lambda_i v_i = \lambda_i v_i^T v_i = \lambda_i</math> |
| + | |
| + | The solution becomes clear now, i.e. choose <math>\mathbf{w}</math> to be the eigenvectors corresponding to the ''largest'' eigenvalue of <math>\mathbf{A}</math>. |
| + | |
| + | === Fischer LDA === |
| + | |
| + | Another method along the same line was proposed by Fischer. The idea is to find the direction which best seperates the mean of different classes, as contrasted to PCA which finds the direction in which the projected data have highest variance. Fisher's criterion is as follows: (note that we consider the task of classifications with two labels, 1 and -1) |
| + | |
| + | : <math>\max_{w \in \mathbb{R}^d} \frac{||w^T m_1 - w^T m_{-1}||^2}{\sum_{i \in I_1} ||w^T x_i - w^T m_1||^2 + \sum_{i \in I_{-1}} ||w^T x_i - w^T m_{-1}||^2 } |
| + | </math> |
| + | |
| + | where <math>m_c = \frac{1}{|I_c|} \sum_{i \in I_c} x_i</math> |
| + | |
| + | The numerator could be written as <math>w^T (m_1 - m_{-1})(m_1-m_{-1})^T w</math> which we denote the middle term by <math>\mathbb{S}_B</math>. Also, the denominator reduces to |
| + | |
| + | : <math>w^T (\sum (x_i - m_1) (x_i- m_1)^T + \sum ( x_i - m_2)(x_i - m_2)^T) w</math> |
| + | |
| + | which we denote the middle term by <math>\Sigma</math>. The problem becomes |
| + | |
| + | : <math>\max_{w \in \mathbb{R}^d} \frac{w^T \mathbb{S}_B w}{w^T \Sigma w }</math> |
| + | |
| + | This is equivalent to |
| + | |
| + | : <math>\max_{w \in \mathbb{R}^d} w^T \mathbb{S}_B w </math> |
| + | : s.t. <math>\mathbf{w}^T \Sigma \mathbf{w} =1</math> |
| + | |
| + | Again, consider Lagrange and differentiate the formula. we get |
| + | |
| + | : <math> 2 \mathbb{S}_B w = 2 \lambda \Sigma w</math> |
| + | : <math>\Sigma^{-1} \mathbb{S}_B w = \lambda w</math> |
| + | |
| + | This would have been done if<math> \Sigma^{-1} \mathbb{S}_B</math> is symmetric and positive semidefinite. We can use the eigenvector solutions like before. We can work it out as follows: |
| + | * Observe that <math>\mathbb{S}_B</math> is a rank-one symmetric, positive semidefinite matrix (rank-one is not important, though). So, the notation <math>\mathbb{S}^{1/2}_B</math> makes sense because we can consider changing to eigen basis, <math>\mathbb{S}_B = U D U^T</math>. So <math>\mathbb{S}^{1/2}_B = U D^{1/2} U^T</math>. |
| + | |
| + | Replacing <math>\mathbb{S}^{1/2}_B w</math> with v, we get |
| + | |
| + | : <math>\mathbb{S}^{1/2}_B \Sigma^{-1} \mathbb{S}^{1/2}_B v = \lambda v</math> |
| + | |
| + | And one can check that the linear map on the lefthand is symmetric, positive semidefinite. Thus, we can find eigenvector solution <math>v_k</math> corresponding to <math>\lambda_k</math> and compute <math>w_k = \mathbb{S}^{-1/2}_B v_k </math> . |
| + | |
| + | One can also verify that, plugging this solution back to the original equation, we get |
| + | |
| + | : <math>\frac{w_k^T \mathbb{S}_B w_k}{w_k^T \Sigma w_k } = \frac{\lambda_k w^T_k \Sigma w_k}{w_k^T \Sigma w_k } = \lambda_k </math> |
| + | |
| + | So, we can maximize the objective by choosing the vector <math>v_k</math> corresponding to largest eigenvalue. |
| + | |
| + | == Week 3: Finishing up SVM == |
| + | This week, we will talk about support vector machines which involve solving quadratic programs. At the same time, we start the theory of VC dimension. |
| + | |
| + | See [[Week 3 (Machine_Learning) | this]]. |
| + | |
| + | Please see chapter 10 in Vapnik's book ''Statistical Learning Theory'' for reference. |
| + | |
| + | == Week 4: A theory of reproducing kernels == |
| + | This week, we start looking at kernel methods which will be a main focus for this quarter. The first class gives several definitions and concepts relating to reproducing kernel hilbert spaces. We talk about two constructions of r.k. Hilbert space (i.e. via a completion of linear combinations and via measure-theoretic view). These two methods (and some others in the liturature) are equivalent. Examples of the construction are given in the finite-domain case. |
| + | |
| + | [[Week4_Machine Learning | here]] |
| + | |
| + | Please see the reference for more detail. |
| + | |
| + | == Week 5: More on kernels == |
| + | The plan for this week is to talk about [http://people.cs.uchicago.edu/~niyogi/papersps/MinNiyYao06.pdf this paper] |
| + | |
| + | ==Useful Links== |
| + | ===General Theory=== |
| + | * [http://en.wikipedia.org/wiki/Eigenvalue,_eigenvector_and_eigenspace Wikipedia article on eigenvalue, eigenvector and eigenspace] |
| + | * [http://en.wikipedia.org/wiki/Ordinary_least_squares Wikipedia article on ordinary least square] |
| + | * [http://en.wikipedia.org/wiki/Singular_value_decomposition Wikipedia article on singular value decomposition] |
| + | * [http://en.wikipedia.org/wiki/Principal_component_analysis Wikipedia article on principal component analysis] |
| + | * [http://en.wikipedia.org/wiki/Tikhonov_regularization Wikipedia article on Tikhonov regularization] |
| + | * [http://www.jstor.org/view/00029947/di963001/96p0042z/0 Reproducing kernels Hilbert spaces] |
| + | |
| + | === Famous Applications of PCA in machine learning === |
| + | * Eigenface for '''face recognition''' |
| + | ** [http://en.wikipedia.org/wiki/Eigenface Wikipedia article on eigenface] |
| + | ** [http://vismod.media.mit.edu/vismod/demos/facerec/basic.html MIT introduction to eigenface] |
This page contains a list of topics, definitions, and results from Machine Learning course at University of Chicago taught by this guy. The proof is very sketchy and given without any intuition mainly because I'm so lazy. I would appreciate all kinds of help to make the note complete.
Week 1: Introduction and OLS
The materials this week are just about the framework. We show that the problem of minimizing squared errors with respect to a distribution is the same as the problem of learning . If the examples are drawn from discrete domain, this is a classification problem, but in case of continuous domain, it's a regression problem.
After defining all necessary definitions, an example of linear regression is given as a motivation of how regression is done.
Learning problem
Given a distribution on . We want to learn the objective function (with respect to the distribution :).
Learning Algorithms
Let Z be the set of possible samples. The learning algorithm is a function that maps a number of samples to a measurable function (denoted here by F a class of all measurable functions). Sometimes we consider a class of computable functions instead.
Learning errors
Suppose the learning algorithm outputs h. The learning error can be measured by
One can prove that minimizing this quantity could be reduced to the problem of minimizing the following quantity.
And that's the reason why we try to learn
In other word, we claim that
The proof is easy.
We get
Then observe that,
- The first term only depends on distribution
- The third term is zero
Observe also that the term which is zero.
- The second term is equal to
Example 1
When the class , i.e. classification problem, our objective reduces to
One can show that the function
minimizes the loss (proof omited)
Example 2
When , the problem is just like regression where we try to regress :
Learning lowerbound
Let be a class of probability distribution of interest. No algorithm achieve error smaller than
Ordinary Least Square
If the relation is linear,
OLS provably gives the minimum squared error.
Consider the error
Differentiating the error and make it zero, we get
If has no nullspace (or is full rank), then it has an inverse. We get
But if the matrix is not full rank, we can still show that
minimizes the error, where is the Moore-Penrose pseudoinverse of the matrix.
First, let be eigenvalues of and let be corresponding eigenvectors.
Note that:
- Since is positive semidefinite, all eigenvalues are non-negative
- We can decompose to
- (because is symmetric so that every eigenvector is orthogonal to others.)
Denote the column space of by . Assume WLOG that and .
We will first show that in fact, lives in the subspace . Observe that since the set of eigenvectors span , it suffices to show that it is orthogonal to every vector in
- , .
Let , that is . We get
This implies that and thus, .
From the fact that lives in , we can verify that the following is what we need.
And it's straightforward to see that the solution for is not unique since any for would also satisfy the equation.
Note that the term is a Moore-Penrose pseudoinverse of a singular matrix.
Tikhonov Regularization
Instead of solving
we look at
If tends to zero, it problem becomes just like OLS. If is a certain positive number, differentiating both sides give (and equate to zero)
are eigenvalues of , where are eigenvalues of .
Observe that all eigenvalues are positive, so nullspace is zero. And thus, matrix on the left-hand side is invertible. The solution is unique.
Week 2: PCA, LDA, and Introduction to SVM
In this week, we cover another theme of techniques, i.e. Principle Component Analysis (PCA) and Fisher Linear discriminant analysis. As compared to last week topics which involve solving linear systems, this week topics involve solving eigenvalues & eigenvectors of matrix.
Since the theory of positive semidefinite will be crucial throughout the course, we give a quick introduction.
A quick introduction to theory of positive matrix
A matrix is said to be positive semidefinite if
- for all w
Observation: Matrix in the form is positive semidefinite.
Proof. for any w,
property 1: Positive semidefinite matrix has eigenvalue
Proof.
(This is because can be thought
as a generalized dot product so that it will always have non-negative value).
PCA
Given n points of data in , we want to find a projection which best splits these n points. The notion of 'best' is measured by variance of the projected data. Note that we can assume WLOG that . That is, we want to maximize where.
- where is positive semidefinite.
The problem is given as follows.
-
- s.t.
Using Lagrange's,
Differentiating the above,
This tells us that the solution must be among eigenvectors of .
The solution becomes clear now, i.e. choose to be the eigenvectors corresponding to the largest eigenvalue of .
Fischer LDA
Another method along the same line was proposed by Fischer. The idea is to find the direction which best seperates the mean of different classes, as contrasted to PCA which finds the direction in which the projected data have highest variance. Fisher's criterion is as follows: (note that we consider the task of classifications with two labels, 1 and -1)
where
The numerator could be written as which we denote the middle term by . Also, the denominator reduces to
which we denote the middle term by . The problem becomes
This is equivalent to
- s.t.
Again, consider Lagrange and differentiate the formula. we get
This would have been done if is symmetric and positive semidefinite. We can use the eigenvector solutions like before. We can work it out as follows:
- Observe that is a rank-one symmetric, positive semidefinite matrix (rank-one is not important, though). So, the notation makes sense because we can consider changing to eigen basis, . So .
Replacing with v, we get
And one can check that the linear map on the lefthand is symmetric, positive semidefinite. Thus, we can find eigenvector solution corresponding to and compute .
One can also verify that, plugging this solution back to the original equation, we get
So, we can maximize the objective by choosing the vector corresponding to largest eigenvalue.
Week 3: Finishing up SVM
This week, we will talk about support vector machines which involve solving quadratic programs. At the same time, we start the theory of VC dimension.
See this.
Please see chapter 10 in Vapnik's book Statistical Learning Theory for reference.
Week 4: A theory of reproducing kernels
This week, we start looking at kernel methods which will be a main focus for this quarter. The first class gives several definitions and concepts relating to reproducing kernel hilbert spaces. We talk about two constructions of r.k. Hilbert space (i.e. via a completion of linear combinations and via measure-theoretic view). These two methods (and some others in the liturature) are equivalent. Examples of the construction are given in the finite-domain case.
here
Please see the reference for more detail.
Week 5: More on kernels
The plan for this week is to talk about this paper
Useful Links
General Theory
Famous Applications of PCA in machine learning
- Eigenface for face recognition