jung_dalglish's Top Recommendations

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	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted by 60 people pjmaybank Tracking Methods emailhy pingmei bklynbam gavin1332 ecome psychorav mircea longtop resilla bertelsen ocs sugarexpletive bgibson tkf mthomure emre haiyeong h-chi brian sbarthelme bayes mboehmer paulclinger thefillm stibor ppeeling yaroslavvb sdvillal nojhan gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA kohei-h brianmc napvasconcelos teesid robotact Hoertnagl matjes eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat
	Pattern Classification (2nd Edition) [My Copy] (21 November 2000) by Richard O. Duda, Peter E. Hart, David G. Stork posted by 63 people LDA and dimension reduction techniques emailhy jrodriguez gavin1332 montse_gg kroatiker alexjfalcao purplecrown seninp liamtoh333 lvcargnini ben500 h-chi chiufanlee RafaUsyd aanthon2 eddymier pprett misovalko thefillm pdlug JoSeK thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis buescher76 balicea sdvillal pbellec ctacmo jclau bigbossman brunomelo ddos mattjb zeppe dimatura theus CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS abellogin singhsh Medical Image Analysis and Visualization @ OSU haiyeong napvasconcelos ecome matjes yaroslavvb tgyork middell
	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326. by Sam T. Roweis, Lawrence K. Saul posted by 40 people pingmei Cavadini akuhn singhsh caicai tfx klmoravec jzujovic rramirezp Scis0000002 ajbattle shpigi thefillm jtbassic babakap qwermish briordan weiweiguo egozi yaroslavvb gangli yas yama_tah filippone tag sdvillal dgront walkking jguinney tulip T_lab metric_embeddings Computer_Graphics kenji4569 DavidSchulz mdramirez mctor amargoli matjes eddymier
	Matrix Computations (Johns Hopkins Studies in Mathematical Sciences) [My Copy] (15 October 1996) by Gene H. Golub, Charles F. Van Loan posted by 26 people mthomure thsant ctoraci beloviedo nilou kalti brian ppeeling stanley rpadams davidr joeionnojitsu jekky filippone eyliu sdvillal sprite bigbossman lcoquelle CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR donade pdlug cgsanchez
	Information Theory, Inference & Learning Algorithms [My Copy] (15 June 2002) by David J. C. MacKay posted by 66 people flips Sergey_gerbek vgauthier foekenev gkatsi pjmaybank serebryakov mdengler jorgeac Fantozzi ARobson betting awarlau Adso dullhunk brian Maderlock alexzeh thefillm pprett ppeeling A_Olympia ansobol yaroslavvb JoSeK ingo jrw rpadams gyuli dariusb simonjudge leidner bayesian BarrosH wnpx filippone marcosmuller danielaugot zielaj daveh spirit_of_numenor sbarthelme anon_pl dwf petrijooste wowbagger nrubens chrisc rsantana fishtank rwilliamson poluxmoon robertoalamino Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems brianmc lop matjes delip markusd ekatsyrk luispedro robotact
	Statistical Learning Theory [My Copy] (16 September 1998) by Vladimir N. Vapnik posted by 27 people tlow montse_gg esyoun idlebrain lbustio iggykay fjanoos shrikondra brian thefillm imrchen yaroslavvb gyuli grzegorz sdvillal archroad paolo AbnerCYH abrentnall bundschu johnkork navil Bioinformatics QFRMC_ConsumerCredit generif_paper shimazaki jaonary
	Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series) [My Copy] (28 September 1990) by Keinosuke Fukunaga posted by 7 people awg2 lbustio mboehmer yaroslavvb sdvillal teesid matjes
	Data clustering: a review [My Copy] ACM Comput. Surv., Vol. 31, No. 3. (September 1999), pp. 264-323. by A. K. Jain, M. N. Murty, P. J. Flynn posted by 78 people emailhy erikv thegoose elan urvoy stharward thefillm operon avoregnitiv fer votis pick600 pbk nhoussos qwermish svozil takeha-e eabait mthomure mercutio egh ericyu karbak dgruiz pdlug thsant mapio mhay davidbrooks imouthesmp dfrankow rahul marcius stagediver sterovetta sangeetha chadhogg sdvillal dgront styliani alexhofmann gane5h ianturton bigbossman perceptron allmensch aviad_work julianpan atbrew sugarexpletive KillianKay mkolar sajan dvisoin theodora jcsilva furykerry koles video_retrieval kdl GroupLens Bioinformatics SRL insilicodrug BioinfoCIPF SGU-CIPF MScResearchRessources NDSiTransitRessources NDS106ProjectRessources NDSIntraVehicularResearch ahat Community_SSTZ paulovn AbnerCYH tnhh flaviovdf dragonrez iraklis
	Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) [My Copy] (22 June 2005) by Ian H. Witten, Eibe Frank posted by 54 people anib singhsh installe tomjad malibu pinventado alexjfalcao fiacobelli liamtoh333 tijszwinkels ihaque sugarexpletive karinaecomp gstiglic haiyeong imrchen baaic mlkd RafaUsyd tmancill druvus dullhunk GJNauta sb-3000 sammydre balicea sdvillal caporaso AbnerCYH brunomelo dejang mdifranc BastianSpanneberg velasco azazello ezralanglois pprett gmonce WAND AI biomedical-nlp RiSE CSBBGraphTheory fernandohbc scorreia_pro csacca jdu bobychan napvasconcelos soramame_0518 abellogin quianominorleo eegilbert akastrin
	Face Recognition Using Laplacianfaces [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 3. (2005), pp. 328-340. by Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi posted by 12 people florianschroff handee Liuftvafas babakap jekky sdvillal zoop CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR mctor
	An introduction to kernel-based learning algorithms [My Copy] Neural Networks, IEEE Transactions on, Vol. 12, No. 2. (2001), pp. 181-201. by K. R. Muller, S. Mika, G. Ratsch, K. Tsuda, B. Scholkopf posted by 18 people esyoun awg2 ckai1 Fujisaki babakap gkvas eddymier vi_z grzegorz bayesian pliz mthomure zoop atbrew kozaki teesid jccaicedo i-stevenson
	An overview of statistical learning theory [My Copy] Neural Networks, IEEE Transactions on, Vol. 10, No. 5. (1999), pp. 988-999. by V. N. Vapnik posted by 28 people makni thefillm sourada A_Olympia yaroslavvb anoopsarkar gangli eme garyfeng arsyed yish sdvillal gane5h dwf atbrew d_burfoot rsantana Philosophy_of_Information Blog_and_Wiki_Research tulip ReadingLab astro mathgamespatterns dtl vds-arg eni balduzzi fredguilloux
	Machine Learning [My Copy] (01 March 1997) by Tom M. Mitchell posted by 45 people gavin1332 gagliol pinventado q_w_e_r_t_y librain gabriprat gokopal fiacobelli bgibson zhanwei agogoh3 ogenex TKU_CS DB Lab imrchen gr650 ianwelch frohike misovalko harperf lrozo pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick AI RiSE contact-id zchen teesid dquercia robotact jdu sfeige bundschu markusd
	Maximum Likelihood from Incomplete Data via the EM Algorithm [My Copy] Journal of the Royal Statistical Society. Series B (Methodological), Vol. 39, No. 1. (1977), pp. 1-38. by A. P. Dempster, N. M. Laird, D. B. Rubin posted by 84 people beete chrahn flieder ianhales asterix77 Gorzomagnificent SEM Biostatistics ctacmo reconnie claurier tkollar rily matjes erhanbas mthomure austin987 chiarafulgenzi mhofree NChopin ppeeling zhouyanpharm thefillm LanguageModeling ilps ejmeij tadao1102 czeller markusd zeppe Maderlock abrentnall cfelipesp jake ingo anoopsarkar gangli rpadams wkw hoangmtbk dragonrez Freyr lukec dheena songhaoyuan amirsaemi j3xucite ecome walkking nandan marrtin tvdbulck MichaelDonoser MikeDoni rwilliamson calamar qq987 ichbins81 petrposik ggorjan shiquanwang lcigler ciga Statistics_and_Social_Science tulip LTN Computer_Graphics Computational_Information_Geometry kvorg ifejobi DavidSchulz ykuoka singhsh trop_wizz eddymier Medical Image Analysis and Visualization @ OSU schulz stkhu eegilbert weymouth wenhan MBLAB qwermish iansimon
	An introduction to ROC analysis [My Copy] Pattern Recogn. Lett. In ROC Analysis in Pattern Recognition, Vol. 27, No. 8. (June 2006), pp. 861-874. by Tom Fawcett posted by 42 people singhsh TLVincent module qluo q_w_e_r_t_y makrehchi Borelli mthomure sbarthelme jjrodriguez cen4ik jmetzen MosesCheckley ldietz vavi dquest sdvillal xiaoyan2006 dwf camu schlauchi vmoa drivard nklee imrchen kmdaily gsiwo Bioinformatics Crypto VT_DLRL Randomness LIVIA tgyork idonaldson BergmanLab napvasconcelos cdeane haiyeong AbnerCYH isimpson guhjy nherveg
	Power-law distributions in empirical data [My Copy] (2 Feb 2009) by Aaron Clauset, Cosma R. Shalizi, M. E. J. Newman posted by 65 people danilov Diego_Prada kinop jaia lehalle jsaramak ccthomas vagoskar acrmartins krisl makrehchi jotwin quianominorleo akuhn arsyed coccoinomane janpaniev pawelsobko alexv Borelli tmarscha dpf ReadingLab garyfeng kubyaddi tnhh kaarsinogen dmeister ddahlem vtraag mattjb jfelipe yonyoni laurobeltrao mmcgloho galyardt gconaldi egh ansobol lfriedl jjray itmeson dumpa madhadron sdvillal bigbossman merazzle xpontus muraken sugarexpletive jaspervoskuilen tomhebbron gi0rgi0ne amoebe jasonn pprett EntrepreneurialRisks AbnerCYH halukbingol anhlc stringertheory deanmalmgren jyew nazareno diamantis
	An introduction to support vector machines : and other kernel-based learning methods [My Copy] (28 March 2000) by Nello Cristianini, John Shawe-Taylor posted by 34 people barmak7282 gavin1332 drivard gkvas lbustio shrikondra vlasto now yaroslavvb sb-3000 davidr baaic sleitich ryanshaw nello MatMay grzegorz buescher76 lyongu archroad AbnerCYH brunomelo atbrew kklo sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis AI RiSE mfcabrera asterix77 eacosta quianominorleo
	A Novel Kernel Method for Clustering [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 5. (2005), pp. 801-804. by F. Camastra, A. Verri posted by 9 people thefillm davidr eme dragonrez filippone sdvillal seudonimo_falso vplagnol astro
	Independent component analysis: algorithms and applications. [My Copy] Neural Netw, Vol. 13, No. 4-5. (n 2000), pp. 411-430. by A. Hyvärinen, E. Oja posted by 11 people garyfeng aufrank bayesian ccpin sdvillal xinian ReadingLab ur-cls PTT ganeshrnaik sbarthelme
	Clustering by passing messages between data points. [My Copy] Science (New York, N.Y.), Vol. 315, No. 5814. (16 February 2007), pp. 972-976. by Brendan J. Frey, Delbert Dueck posted by 39 people wxvrqs singhsh gavin1332 dgront babakap sen_cheng davidecellai zibuyu ilyashl trutat1 sfuniak doitian kuhn xtizon jfr jmeppley stevedebacker arjen sterovetta sdvillal nickluscombe rdiaz ianturton macle bluto rsantana grahamc ccr hexuming worldsun dimatura EBI-regulation paulovn daniel51 matjes johnkork XIANG iris_2001 soundray
	Reducing the Dimensionality of Data with Neural Networks [My Copy] Science, Vol. 313, No. 5786. (28 July 2006), pp. 504-507. by G. E. Hinton, R. R. Salakhutdinov posted by 36 people mthomure pascanur jdoconnell __andy__ euclid austincarp babakap dakelley zheaton brian pdlug ana barry garyfeng mrkrause yama_tah neilh sdvillal dwf jwdietrich rgb mp4man josepe marcusfrean robincha structural_bioinformatics ReadingLab MathBio Bioinformatics Cybernetics pileWorks S-Lab Biomedical_Cybernetics AQUA-FONTIS-Study ygarb ancechu
	Foundations of Statistical Natural Language Processing [My Copy] (18 June 1999) by Christopher D. Manning, Hinrich Schuetze posted by 54 people guelke stancari almadana uki hehrig mariusausterschulte kwoodsend jgronski pool007 vlasto bundschu mthomure fly51fly Enro korakot pdlug fmatthes arthit jelsas bkhl tijl nkorf grzegorz leidner vera46 caomo bigbossman phoenix makimoto whym florianleitner takifugu matwendt suizan pprett bemike Philosophy_of_Information Blog_and_Wiki_Research automatic_summarization STP Pattern-Analysis Semantic-Social-Networks AI spinaltap526 quianominorleo phlow creswick yaroslavvb tobiaten jliegl delip markusd Dani_ella francolq
	Indexing by latent semantic analysis [My Copy] Journal of the American Society for Information Science, Vol. 41, No. 6. (7 January 1999), pp. 391-407. by Scott Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, Richard Harshman posted by 21 people zibuyu myui ilps ejmeij russellbeale mapio ChaTo k12u diegolino_veneziano bfraser sdvillal voiklis student_t atbrew fwkroon dgleich InformationRetrieval HCI-Bham ColDyn iansimon fer
	Independent Component Analysis [My Copy] (01 May 2001) by Aapo Hyvarinen, Juha Karhunen, Erkki Oja posted by 15 people fjanoos eddymier jelsas eme garyfeng metamerist sdvillal bigbossman pervane perfe ReadingLab astro brianmc fredguilloux ganeshrnaik
	Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures) [My Copy] (01 May 2007) by Gilbert Harman, Sanjeev Kulkarni posted by 3 people thefillm sdvillal quianominorleo
	Elements of Information Theory [My Copy] (12 August 1991) by Thomas M. Cover, Joy A. Thomas posted by 20 people memming brian robotact samedina misovalko ppeeling stanley yaroslavvb leidner bayesian BarrosH archroad infogrind dpf kvorg pvfloripa zchen ecome Hans45 abellogin
	Machine Learning (Mcgraw-Hill International Edit) [My Copy] (01 October 1997) by Thomas Mitchell posted by 19 people ansteltucson robert85 pprett sb-3000 ujh ryanshaw sdvillal gatsoulis Mohan-S wkiri sims_phd_cohort_2005 digital_youth aklassen singhsh Medical Image Analysis and Visualization @ OSU jliegl quianominorleo akastrin creswick
	Power laws, Pareto distributions and Zipf's law [My Copy] Contemporary Physics (29 September 2005), pp. 323-351. by M. E. J. Newman posted by 70 people ddahlem jaspervoskuilen danilov Sergey_gerbek ingo Gorzomagnificent Soslab halukbingol makrehchi jotwin pdlug klouie tnhh diamantis flips jfelipe eisdur BelliOS nolodie pietrosperoni egh korakot sccook sriks6711 mafwood A_Olympia JeffreyPalmer derek_farn ansobol devzero nigini yaroslavvb lubrifix mague mapio ecolab garyfeng ChaTo yishuai Borelli bayesian lyongu scottmoody balicea mukundn proportional entropy scis0000001 bigbossman cristinaalp merazzle sugarexpletive mp4man MoritzStefaner mylit gi0rgi0ne ejazasi salvoscellato Philosophy_of_Information Blog_and_Wiki_Research ReadingLab 18th-century_history_culture_and_society semantic-multicast-routing Web2 EntrepreneurialRisks ruffini skheller ulmer quianominorleo dylanwalker
	Map-Reduce for Machine Learning on Multicore [My Copy] In NIPS (2006), pp. 281-288. by Cheng T. Chu, Sang K. Kim, Yi A. Lin, et al.Yuanyuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman, Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted by 30 people joshdsullivan large-scale-ml pprett Jingbo jweslley nlong zhaomin nliu82 mpotamias conservatism pwais dmeister klatifch eddymier daniel51 jahwa myui sdvillal wentrue euclid jjrodriguez nojhan donade agulli zzztimbo bhaddow takeha-e zakk0610 coleslaw amatos
	Simultaneous feature selection and clustering using mixture models [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1154-1166. by M. H. C. Law, M. A. T. Figueiredo, A. K. Jain posted by 7 people stharward ecome chafika jekky sdvillal eacosta amargoli
	Subspace clustering for high dimensional data: a review [My Copy] SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 90-105. by Lance Parsons, Ehtesham Haque, Huan Liu posted by 17 people singhsh tfx dpdearing LongNguyen Feature Selection V yas sdvillal syoyo gane5h fukken bigbossman noa lillejul dimatura T_lab amargoli
	Neural Networks and the Bias/Variance Dilemma [My Copy] Neural Computation, Vol. 4, No. 1. (January 1992), pp. 1-58. by Stuart Geman, Elie Bienenstock, René Doursat posted by 9 people asterix77 installe ntrinh misovalko yaroslavvb neteler sdvillal atbrew suizan
	Unsupervised Learning of Image Manifolds by Semidefinite Programming [My Copy] International Journal of Computer Vision, Vol. 70, No. 1. (1 October 2006), pp. 77-90. by Kilian Weinberger, Lawrence Saul posted by 8 people stober jzujovic babakap yairgo haidai sdvillal singhsh mctor
	A theory of the learnable [My Copy] Commun. ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142. by L. G. Valiant posted by 7 people misovalko mthomure sdvillal AbnerCYH dwf mangesh bsilverthorn
	Content-based multimedia information retrieval: State of the art and challenges [My Copy] ACM Trans. Multimedia Comput. Commun. Appl., Vol. 2, No. 1. (February 2006), pp. 1-19. by Michael S. Lew, Nicu Sebe, Chabane Djeraba, Ramesh Jain posted by 25 people romeroandres katherinerozo lzhlynn klmoravec camargoj autrusseau-f ndegara eddymier ryanshaw sdvillal sugarexpletive dvallet lanltbk wongmld zeppe diogomartins sims_phd_cohort_2005 digital_youth NETS-UAM video_indexing_retrieval NETS ctl jccaicedo mamadoudiao hideojoho
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted by 23 people brothers mlkd gyuli kevynct neteler kaarsinogen ChaTo lfriedl mukundn mthomure sdvillal KaraNagai lbatista Repton robincha girschick kdl LIVIA thangvu wlyu2001 eegilbert askom floares
	On Kernel-Target Alignment [My Copy] by Nello Cristianini, John S. Taylor, André Elisseeff posted by 5 people ecome atbrew LTN teesid jsr
	Neural Networks for Pattern Recognition [My Copy] (18 January 1996) by Christopher M. Bishop posted by 25 people ekatsyrk comqrnd tvdbulck meozbek pjcite napvasconcelos yaroslavvb eme leidner jekky buescher76 arielbaz filippone ephel Found poluxmoon CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR astro brianmc aklassen olbudt fredguilloux
	An Introduction to the Bootstrap [My Copy] (15 May 1994) by Bradley Efron, Robert J. Tibshirani posted by 19 people allmensch napvasconcelos frohike gyuli sdvillal pbellec ctacmo jclau bedo dejang meatball skrofej polykrates naegele Statistics_and_Social_Science Biostatistics shimazaki ecome sfcheung
	General conditions for predictivity in learning theory. [My Copy] Nature, Vol. 428, No. 6981. (25 March 2004), pp. 419-422. by T. Poggio, R. Rifkin, S. Mukherjee, P. Niyogi posted by 9 people TRHvidsten NicolaSegata klouie yaroslavvb kentsis davidr sdvillal kaineci Glimcher_Lab
	Unsupervised learning techniques for an intrusion detection system [My Copy] In SAC '04: Proceedings of the 2004 ACM symposium on Applied computing (2004), pp. 412-419. by Stefano Zanero, Sergio M. Savaresi posted by 3 people arcticlobo sdvillal thefillm
	A Geometric Formulation of Occam's Razor for Inference of Parametric Distributions [My Copy] (8 January 1996) by Vijay Balasubramanian posted by 4 people yaroslavvb davidr sdvillal scis0000001
	Latent Dirichlet Allocation [My Copy] Journal of Machine Learning Research, Vol. 3 (January 2003), pp. 993-1022. by David M. Blei, Andrew Y. Ng, Michael I. Jordan posted by 23 people jhe almadana lmaurits ARTFL markymaypo jessopher bcroy dpl33 mehrbod markusd kohei-h pprett ilps ejmeij mthomure sdvillal bundschu julianpan vlachmore adamsi rayzhang pdlug zeppe
	Anomaly Detection Using Real-Valued Negative Selection [My Copy] Genetic Programming and Evolvable Machines, Vol. 4, No. 4. (14 December 2003), pp. 383-403. by Fabio González, Dipankar Dasgupta posted by 2 people sdvillal thefillm
	Combining Pattern Classifiers: Methods and Algorithms [My Copy] (01 July 2004) by Ludmila I. Kuncheva posted by 8 people operon rsantana sdvillal AbnerCYH CSBBGraphTheory napvasconcelos drivard abellogin
	Principal Component Analysis [My Copy] (01 October 2002) by I. T. Jolliffe posted by 7 people ekatsyrk esyoun eddymier sdvillal lschilli quianominorleo ganeshrnaik
	Linked: How Everything Is Connected to Everything Else and What It Means [My Copy] (29 April 2003) by Albert-Laszlo Barabasi posted by 134 people kinop borkurdotnet scottmoody davidleitner simdoc makrehchi fierykylin tomhebbron boosda Information Integration Architecture mxro thegoose rickl MariaChiaraP pdlug nazimkeven eddymier mboehmer ajaymalik pacianca3 donade einatb gastarblogger fbr maike emre panisson Adso gkoenig mattjb mooniii pick600 germoglio hrwiltse laurobeltrao nigini camster draggin korakot Mandre A_Olympia zephoria RyanSchultz fmatthes scholz barry cyprien riadlem lehel zinp nkorf tautai wcrosbie cchesher cmmorel jekky Typewriter mbliemel Jenneke cgjj slariccia irinas petzlux marije seawidget hannont matteodellamico leonardo bibliothecaire bigbossman krisl spirit_of_numenor cristinaalp brusilovsky jwdietrich britton cerkut awooga mzygmunt azygmunt RafG jaspervoskuilen kevinemamy timflutre alexevasion flavian_vasile mattlandau PaulBHartzog roland_ewald jenna anansi sidds1601 rkalvi JimFolk CMU-HCII Philosophy_of_Information dbk-lab Blog_and_Wiki_Research automatic_summarization structural_bioinformatics CSCW MathBio ASR digital_youth Sociology Librarians Semantic-Social-Networks Wikipedia CoP_CMS Bioinformatics folksonomy ETEC533 CMS Cybernetics social_navigation ComplexAdaptiveSystems Biomedical_Cybernetics AGH-IISG Adaptive-Web dIEMoSIRIS MoSi-Rostock AQUA-FONTIS-Study MASSS CSU_School_of_Education Web2-0_Education asrilova Social Web anton-tayanovskyy ICT4D aelzaim copyculture kamccollum kikimu thecolourblue
	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (1 October 2001), pp. 5-32. by Leo Breiman posted by 23 people Random Subspace Method sona srp33 felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates abrentnall kaarsinogen sdvillal maheshj lp2 poluxmoon jdu AbnerCYH carlk yaroslavvb
	Mining the Web: Discovering Knowledge from Hypertext Data [My Copy] (23 October 2002) by Soumen Chakrabarti posted by 39 people fmccown longtop jasonzou vlasto agulli Information Retrieval fly51fly korakot jomeyertons pdlug meryn arthit ChaTo fsilvestri wcrosbie ergodique Jaykul mthomure ak AbnerCYH flb86 KathrinJanke BastianSpanneberg amarois diogomartins kohei-h Philosophy_of_Information Blog_and_Wiki_Research automatic_summarization InformationRetrieval Wikipedia CoP_CMS votis brightbyte hehrig donade dmeister quianominorleo pprett
	Discriminating and visualizing anomalies using negative selection and self-organizing maps [My Copy] In GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation (2005), pp. 297-304. by Fabio A. González, Juan C. Galeano, Diego A. Rojas, Angélica Veloza-Suan posted by 2 people sdvillal thefillm
	Combining variable selection with dimensionality reduction [My Copy] Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2 (2005), pp. 801-806 vol. 2. by L. Wolf, S. Bileschi posted by 2 people thefillm sdvillal
	Singular Value Decomposition and Principal Component Analysis [My Copy] (3 Mar 2003) by Michael E. Wall, Andreas Rechtsteiner, Luis M. Rocha posted by 13 people hjayaweera rramirezp svozil pdlug elsantosneto stanley mystery sdvillal sugarexpletive kklo rspeer zambujo AbnerCYH
	Self-Organizing Maps [My Copy] (28 December 2000) by Teuvo Kohonen posted by 13 people Saerdna Fantozzi fmatthes stanley sdvillal syoyo Kazuki erisu napvasconcelos gr650 MarkVanHeeswijk Catalysts Bookshelf thefillm
	Principles of Data Mining (Adaptive Computation and Machine Learning) [My Copy] (01 August 2001) by David J. Hand, Heikki Mannila, Padhraic Smyth posted by 9 people stanek gr650 jelsas ergodique wnpx sdvillal imrchen lop quianominorleo
	A Tutorial on Spectral Clustering [My Copy] (1 Nov 2007) by Ulrike von Luxburg posted by 12 people theshadowhost babakap travieso ansobol euclid bigbossman kohei-h scorreia_pro Oksana teesid robotact Hoertnagl
	Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. [My Copy] Science (New York, N.Y.), Vol. 286, No. 5439. (15 October 1999), pp. 531-537. by T. R. Golub, D. K. Slonim, P. Tamayo, et al.C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, E. S. Lander posted by 23 people isimpson srp33 ipark-kaist kentz esyoun stharward Network Analysis of Genes Regulated in Renal Diseases gstiglic ctaraujo ihpark winterschlaefer hhhhssss balajis sdvillal archroad giovanni santhosh ugengma jo_davies akastrin GeschwindLab zchen raiyar
	Support Vector Clustering [My Copy] Journal of Machine Learning Research, Vol. 2 (2001), pp. 125-137. by Ben A. Hur, D. Horn, H. T. Siegelmann, V. Vapnik posted by 4 people sdvillal scis0000001 atbrew quianominorleo
	Fast multiscale image segmentation [My Copy] Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on, Vol. 1 (2000), pp. 70-77 vol.1. by E. Sharon, A. Brandt, R. Basri posted by 16 people DMRL Automatic Target Recognition mpd008 shrikondra kenji gyuli xtizon jekky mthomure djhda troublesome chrisatcite CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR cogent_computing
	Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) [My Copy] (25 August 2000) by Jiawei Han, Micheline Kamber posted by 13 people fmccown purplecrown sophykim malenitah2 fsilvestri sdvillal AbnerCYH fcamel CHISEL InformationRetrieval CSBBGraphTheory Wurlitzer jychen
	Wrappers for feature subset selection [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 273-324. by R. Kohavi posted by 9 people davidr stharward h-chi chad_davis ccpin sdvillal PTT gabriprat amargoli
	Laplacian eigenmaps and spectral techniques for embedding and clustering [My Copy] (2002) by M. Belkin, P. Niyogi posted by 4 people xtizon filippone sdvillal tarampam
	An introduction to variable and feature selection [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182. by Isabelle Guyon, André Elisseeff posted by 9 people bsilverthorn jeremygow cyberwulf eddymier jmetzen mercutio chad_davis sdvillal pprett
	Rapid Object Detection using a Boosted Cascade of Simple Features [My Copy] Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Vol. 1 (2001), pp. 511-I-518 vol.1. by Paul Viola, Michael Jones posted by 23 people Tracking Methods emailhy gavin1332 egozi Liuftvafas baeuml eindermu tianqi micha137 mzabidi Product Images sdvillal zoop guilhermelazzari sjgaller quam hayko assad79 matumio bbabenko Jaldert zeppe miyaki
	A Comparison of Affine Region Detectors [My Copy] Int. J. Comput. Vision, Vol. 65, No. 1-2. (2005), pp. 43-72. by K. Mikolajczyk, T. Tuytelaars, C. Schmid, et al.A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, L. Van Gool posted by 24 people baeuml johnmcd klmoravec mpd008 axin etidey jccaicedo zeppe jekky cw MikeDoni gossman olyweb CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR AI uiuc-cs qpan ehssan82 Vanderbilt caicai jzujovic
	Vision: A Computational Investigation into the Human Representation and Processing of Visual Information [My Copy] (15 March 1983) by David Marr posted by 18 people zeppe dcoates abominable brian bayesian jekky neilh awooga ephel rlai CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR S-Lab MITCCI rmaertin napvasconcelos
	A duality view of spectral methods for dimensionality reduction [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 1041-1048. by Lin Xiao, Jun Sun, Stephen Boyd posted by 9 people yairgo haidai mthomure sdvillal mdreid sugarexpletive rsantana Statistical Machine Learning mctor
	Learning a kernel matrix for nonlinear dimensionality reduction [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 106. by Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul posted by 7 people stober awg2 amargoli bpacker sdvillal vision-ng jccaicedo
	On a Relation Between Principal Components and Regression Analysis [My Copy] The American Statistician, Vol. 53, No. 4. (1999), pp. 349-351. by Jyh-Cherng Jong, Samuel Kotz posted by 5 people sdvillal brian garyfeng danpopovici ReadingLab
	An information-theoretic perspective of tf-idf measures [My Copy] Information Processing & Management, Vol. 39, No. 1. (January 2003), pp. 45-65. by Akiko Aizawa posted by 10 people Keywan irenas yas gridinoc whym seyalas dbk-lab T_lab abellogin sdvillal
	Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods [My Copy] In Advances in Large Margin Classifiers (1999), pp. 61-74. by John C. Platt, John C. Platt posted by 8 people librain ise makrehchi gkvas rayzhang luispedro sdvillal asterix77
	EM Algorithms for PCA and SPCA [My Copy] In Advances in Neural Information Processing Systems, Vol. 10 (1998) by Sam Roweis edited by Michael I. Jordan, Michael J. Kearns, Sara A. Solla posted by 7 people jekky ecome CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR LTN
	Think globally, fit locally: unsupervised learning of low dimensional manifolds [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 119-155. by Lawrence K. Saul, Sam T. Roweis posted by 6 people yaroslavvb gangli tag sdvillal tulip metric_embeddings
	Art of Computer Programming, Volume 1: Fundamental Algorithms (3rd Edition) [My Copy] (07 July 1997) by Donald E. Knuth posted by 11 people jmmcg mchinen brian toomash tautologico sdvillal asddd chandlerc Chrono singhsh ernstbrunner
	The information bottleneck method [My Copy] In Proceedings of the 37-th Annual Allerton Conference on Communication, Control and Computing (1999), pp. 368-377. by N. Tishby, F. Pereira, W. Bialek posted by 19 people yaroslavvb geomblog gangli yiqingtu thsant mhay ajbattle sdvillal anon_pl 223rem tulip kdl DataMining vision-ng vlachmore delip markusd i-stevenson dpf
	Intelligent Data Analysis [My Copy] (15 April 2003) posted by 6 people sb-3000 sdvillal RolandKappe turiel alucke quianominorleo
	Survey on independent component analysis [My Copy] Neural Computing Surveys, Vol. 2 (1999), pp. 94-128. by A. Hyvärinen posted by 6 people tfx rramirezp sdvillal bigbossman sugarexpletive archerC
	Modern Information Retrieval [My Copy] (15 May 1999) by Ricardo Baeza-Yates, Berthier Ribeiro-Neto posted by 60 people christangrant borkurdotnet dagmar fmccown ilps ejmeij eabait fiacobelli flashfonic pcchang85 gerold sebis-bibliothek eddymier akastrin msampson irenas ssn pdlug creswick thsant mapio fridaynet relves ChaTo carolh12 leidner jschellhase pajoma blackrussian tolosoft arjen mthomure dullhunk caomo ak pool007 taho mheckner kah hansom goto4711 gunv rayzhang diogomartins aosbat imrchen bm58 pprett dbk-lab video_retrieval CHISEL AI musil paulovn abellogin mircea Carol_Perryman ctl donade malenitah2
	Computer Vision: A Modern Approach [My Copy] (24 August 2002) by David A. Forsyth, Jean Ponce posted by 13 people gavin1332 cpsaltis erhanbas shrikondra xtizon jekky mthomure chrisatcite serebryakov CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	Explaining the Gibbs Sampler [My Copy] The American Statistician, Vol. 46, No. 3. (1992), pp. 167-174. by George Casella, Edward I. George posted by 18 people gtaralds pool007 Dulce fordela casutton sdvillal AbnerCYH jrnold bsilverthorn bayes thijswesterveld fishtank navil seitentaisei adamsi pcarbo vlachmore bhaddow
	Object categorization by learned universal visual dictionary [My Copy] Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 2 (2005), pp. 1800-1807 Vol. 2. by J. Winn, A. Criminisi, T. Minka posted by 10 people espriggs caicai zeppe jekky mthomure CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR Mitchell Research Group
	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing [My Copy] Journal of the Royal Statistical Society. Series B (Methodological), Vol. 57, No. 1. (1995), pp. 289-300. by Yoav Benjamini, Yosef Hochberg posted by 43 people Biostatistics ctacmo abrentnall jperkins CulCog jlorent zufar bertelsen Zephyrus fisherp michaelbarton dakelley lwaldron polivares brianb ucbcjbm jfr xingxu emptyhb renewang Yanno sdvillal druvus natstreet czeller guhjy RMGraze oannes vplagnol frohike grahamc shigepong ccr axelon ugengma amsantos Bioinformatics Regulomics_UCHSC rschulz dragonrez isimpson vertikalist BTS-PT-AS-CS
	Statistical pattern recognition: a review [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 1. (January 2000), pp. 4-37. by A. K. Jain, R. P. W. Duin, Jianchang Mao posted by 18 people gavin1332 klmoravec stharward awg2 mthomure akastrin h-chi thefillm RafaUsyd balicea yama_tah alexmaclennan gane5h polydicht yangxian abominable EJCKelkboom albertleemon
	Nearest neighbor pattern classification [My Copy] Information Theory, IEEE Transactions on, Vol. 13, No. 1. (1967), pp. 21-27. by T. Cover, P. Hart posted by 5 people jrodriguez eddymier atbrew sampath teesid
	Monte Carlo sampling methods using Markov chains and their applications [My Copy] Biometrika, Vol. 57, No. 1. (1 April 1970), pp. 97-109. by W. K. Hastings posted by 17 people gtaralds flbarroso AbnerCYH sdvillal Taguan carmenrg oannes muraken Maderlock alexeid AaronDarling tobin iris_2001 Xavier petermilner przem naegele
	Video Google: a text retrieval approach to object matching in videos [My Copy] Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on In Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (03 April 2008), pp. 1470-1477 vol.2. by J. Sivic, A. Zisserman posted by 16 people belion lzhlynn maximzhao caicai thegoose jrodriguez baeuml friedel kenji jccaicedo jekky CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR GernotMargreitner
	Learning the semantics of multimedia queries and concepts from a small number of examples [My Copy] In MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia (2005), pp. 598-607. by Apostol (. Natsev, Milind R. Naphade, Jelena Te&\#353;i&\#262; posted by 7 people eddymier thsant sdvillal dvallet video_retrieval NETS-UAM NETS
	Visual attention: control, representation, and time course. [My Copy] Annu Rev Psychol, Vol. 48 (1997), pp. 269-297. by H. E. Egeth, S. Yantis posted by 15 people vspyong aufrank ketangli quantumelf jekky ccweigle CMU-HCII Blog_and_Wiki_Research automatic_summarization ur-cls ASR UT_CS_Perception klouie jwong sylvain_chevallier
	Independent component analysis: an introduction. [My Copy] Trends Cogn Sci, Vol. 6, No. 2. (1 February 2002), pp. 59-64. by J. V. Stone posted by 9 people flieder JonathanD garyfeng sdvillal xinian ReadingLab ulmer archerC ganeshrnaik
	Statistical Learning and Kernel Methods [My Copy] by Bernhard Schölkopf posted by 4 people sdvillal atbrew j0nes kozaki
	Addressing the curse of imbalanced training sets: one-sided selection [My Copy] In Proc. 14th International Conference on Machine Learning (1997), pp. 179-186. by Miroslav Kubat, Stan Matwin posted by 3 people AbnerCYH duke12 sdvillal
	A PAC-Style Model for Learning from Labeled and Unlabeled Data [My Copy] Lecture Notes in Computer Science, Vol. 3559 (June 2005), pp. 111-126. by Maria-Florina Balcan, Avrim Blum posted by 4 people davidr sdvillal worldsun peterlowey
	The pyramid match kernel: discriminative classification with sets of image features [My Copy] Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on In Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 2 (21 October 2005), pp. 1458-1465 Vol. 2. by K. Grauman, T. Darrell posted by 21 people e120265 stober mpd008 pantherseu jzujovic liefengbo pwais shrikondra kenji jekky bpacker Mohan-S doubleshow CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR vision-ng GernotMargreitner caicai vinaypn
	Stop the numbers game [My Copy] Commun. ACM, Vol. 50, No. 11. (November 2007), pp. 19-21. by David L. Parnas posted by 10 people martinrytter andreff leonardo rodrigoreboucas dullhunk sdvillal bigbossman mmuecke hugoff germoglio
	Integrating abduction and induction in machine learning [My Copy] (1997) by R. Mooney posted by 2 people sdvillal quianominorleo
	Smart Inductive Generalizations are Abductions [My Copy] by J. Josephson posted by 2 people sdvillal quianominorleo
	Abduction and Induction: Essays on their Relation and Integration (Applied Logic Series) [My Copy] (30 April 2000) posted by 2 people sdvillal quianominorleo
	A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection [My Copy] In IJCAI (1995), pp. 1137-1145. by Ron Kohavi posted by 11 people santhosh stanley bigga chad_davis Ferran mad sdvillal lschilli fireman haiyeong Repton
	Symbolic time series analysis for anomaly detection: A comparative evaluation [My Copy] Signal Processing, Vol. 85, No. 9. (September 2005), pp. 1859-1868. by S. Chin, A. Ray, V. Rajagopalan posted by 3 people akavipat sdvillal AbnerCYH
	Combining Labeled and Unlabeled Data with Co-training [My Copy] In COLT: Proceedings of the Workshop on Computational Learning Theory, Morgan Kaufmann Publishers (1998) by Avrim Blum, Tom Mitchell posted by 13 people gangli davidr andi_urra mukundn bpacker sdvillal gkvas tulip markymaypo ARTFL sugarexpletive jdu adamsi
	Selection of relevant features and examples in machine learning [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 245-271. by A. Blum posted by 8 people stharward gr650 sirandreus misovalko yaroslavvb sona sdvillal srp33