Frank Nielsen's Top Recommendations

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	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
	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
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted by 70 people LDA and dimension reduction techniques emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary
	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
	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
	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
	On Rereading R. A. Fisher [My Copy] The Annals of Statistics, Vol. 4, No. 3. (1976), pp. 441-500. by Leonard J. Savage posted by 11 people casutton braynor jake lwilliams yaroslavvb gangli davidr Statistics_and_Social_Science tulip Alfie Pragmatist
	Bayesian Data Analysis, Second Edition (Texts in Statistical Science) [My Copy] (29 July 2003) by Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin posted by 29 people gennaro iamtheabelman adriandefroment rafnsi jrnold ruzel frohike ppeeling toomash davidr garyfeng fredrikhw mshafiei wnpx cybermax cmm ctacmo plm OscarRueda peterhearty Statistics_and_Social_Science ReadingLab Biostatistics FAB-lab SAA-HSA asterix77 mbc100 quianominorleo tvdbulck
	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
	Power laws, Pareto distributions and Zipf's law [My Copy] (29 May 2006) by M. E. J. Newman posted by 68 people 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
	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
	Probabilistic Latent Semantic Analysis [My Copy] In Proc. of Uncertainty in Artificial Intelligence, UAI'99 (1999) by Thomas Hofmann posted by 18 people davidr takeha-e jekky viditjain omo anon_pl bundschu jsun iansimon CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR telnet2 phlow ejmeij LanguageModeling adamsi
	Max margin Markov networks [My Copy] (2003) by B. Taskar, C. Guestrin, D. Koller posted by 6 people davidr wcohen wnpx mdreid wenhan Statistical Machine Learning
	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
	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
	Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data [My Copy] In Proc. 18th International Conf. on Machine Learning (2001), pp. 282-289. by John Lafferty, Andrew Mccallum, Fernando Pereira posted by 32 people Information Extraction kabus pprett ttylenda jkominek krisl mehrbod davidr halacsy unnonouno balajis buescher76 wcohen sids j3xucite knmnyn student_t dwf bundschu johnkork koji_matsuda mkolar markusd oktave-labs generif_paper vlachmore kohei-h oyen jmackay Statistical Machine Learning idornescu WLV-RGCL
	Counting probability distributions: differential geometry and model selection. [My Copy] Proc Natl Acad Sci U S A, Vol. 97, No. 21. (10 October 2000), pp. 11170-11175. by I. J. Myung, V. Balasubramanian, M. A. Pitt posted by 5 people qwermish brian yaroslavvb davidr jsr
	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
	Normalized cuts and image segmentation [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 8. (06 August 2002), pp. 888-905. by Jianbo Shi, J. Malik posted by 17 people emailhy thefillm Shibby shrikondra thsant mthomure viditjain ulasziyan lanmuzi rv101 swachsmu zeppe video_retrieval ooi johnkork iansimon egozi
	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 tutorial on hidden Markov models and selected applications in speech recognition [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 77, No. 2. (06 August 2002), pp. 257-286. by L. R. Rabiner posted by 62 people amoreno bklynbam ianhales pascanur mtecha roys wasteland93 tkollar searchingspeech2010 matjes mthomure hawkes db344 ashleygeorge rodri mhp0814 yonatanf gkoenig muraken robotact albert_swart gulkur MiGen Project sergut ppeeling alexr pcahan1 mdhussein mcastillo daveh neveaire pool007 gonza_bp takahi jford neilc pratap bcroy tkravitz dominikschmidt sancho Alice2Nice zeppe karthik_ravikanti poluxmoon sachina maxp Autoregulation Biostatistics Computational-Genomics Bioinformatics Neuroscience MAML tgyork asterix77 yangxian ulmer julianpan rlichten wenhan huangsong tdahl
	All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) [My Copy] (17 September 2004) by Larry Wasserman posted by 12 people gavin1332 fjanoos ilyashl brian pdlug yaroslavvb apaydin ctacmo Statistics_and_Social_Science Biostatistics singhsh Pragmatist
	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 17 people saus83 gabriprat yaroslavvb bigga sona JoSeK davidr gyuli buescher76 mukundn student_t chiahuey gkvas Mohan-S dimatura amargoli AbnerCYH
	Monte Carlo Strategies in Scientific Computing [My Copy] (17 October 2002) by Jun S. Liu posted by 11 people fierykylin ppeeling mullonc rpadams mshafiei ctacmo firoozye Xavier Statistics_and_Social_Science Biostatistics pliz
	Diffusion Kernels on Statistical Manifolds [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 129-163. by John Lafferty, Guy Lebanon posted by 8 people deysandeep Statistical Machine Learning mdreid yaroslavvb geomblog olivierbousquet mukundn sancho
	Probabilistic principal component analysis [My Copy] (1997) by M. Tipping, C. Bishop posted by 14 people pdlug davidr bpacker mad ecome Theo walkking flavian_vasile ShaileshKumar vision-ng LTN Computer_Graphics vlachmore kohei-h
	Statistical Distributions [My Copy] (15 June 2000) by Merran Evans, Nicholas Hastings, Brian Peacock posted by 6 people jake rpadams garyfeng abrentnall Statistics_and_Social_Science ReadingLab
	Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) [My Copy] (19 June 2000) by A. W. van der Vaart posted by 5 people davidr ctacmo Statistics_and_Social_Science Biostatistics ekatsyrk
	Approximation Theorems of Mathematical Statistics (Wiley Series in Probability and Statistics) [My Copy] (04 February 1981) by Robert J. Serfling posted by 5 people davidr joeionnojitsu ctacmo Statistics_and_Social_Science Biostatistics
	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
	Statistical Learning Theory: Models, Concepts, and Results [My Copy] (27 Oct 2008) by Ulrike von Luxburg, Bernhard Schoelkopf posted by 6 people arsyed Statistical Machine Learning mdreid ansobol dah robotact
	Semi-Supervised Learning (Adaptive Computation and Machine Learning) [My Copy] (01 September 2006) posted by 12 people dpdearing cdepablo eddymier liamtoh333 thefillm jekky sdvillal ecome bundschu worldsun jung_dalglish davidr
	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
	Value Regularization and Fenchel Duality [My Copy] J. Mach. Learn. Res., Vol. 8 (2007), pp. 441-479. by Ryan M. Rifkin, Ross A. Lippert posted by 3 people yaroslavvb mdreid Statistical Machine Learning
	Bayesian measures of model complexity and fit [My Copy] Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 64, No. 4. (2002), pp. 583-639. by S. D. Spiegelhalter, N. G. Best, B. P. Carlin, A. V. D. Linde posted by 4 people yaroslavvb davidr okarsligil Bioinformatics
	Fundamentals of statistical exponential families: with applications in statistical decision theory [My Copy] (1986) by L. D. Brown posted by 5 people brian yaroslavvb ctacmo Statistics_and_Social_Science Biostatistics
	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
	A few notes on statistical learning theory [My Copy] (2003), pp. 1-40. by Shahar Mendelson posted by 5 people yaroslavvb rsaarelm olivierbousquet davidr mukundn
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (19 November 1999) by Vladimir N. Vapnik posted by 19 people pjcite lbustio bayesian gstiglic brian thefillm yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid jung_dalglish ecome jaonary akastrin
	I-Divergence Geometry of Probability Distributions and Minimization Problems [My Copy] The Annals of Probability, Vol. 3, No. 1. (1975), pp. 146-158. by I. Csiszar posted by 4 people yaroslavvb davidr mukundn yairgo
	Kernel-Based Object Tracking [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 25, No. 5. (2003), pp. 564-575. by Dorin Comaniciu, Visvanathan Ramesh, Peter Meer posted by 15 people DMRL Automatic Target Recognition mpd008 emailhy Tracking Methods pqnga mirai_wo_tukuru thsant tyler stsaft davidmihalcik aldershoff e_sommerlade cellsbe cbeltran qwermish
	Filtering via Simulation: Auxiliary Particle Filters [My Copy] Journal of the American Statistical Association, Vol. 94, No. 446. (1999), pp. 590-599. by Michael K. Pitt, Neil Shephard posted by 5 people ppeeling ctacmo abrentnall Statistics_and_Social_Science Biostatistics
	A new class of upper bounds on the log partition function [My Copy] Information Theory, IEEE Transactions on, Vol. 51, No. 7. (2005), pp. 2313-2335. by M. J. Wainwright, T. S. Jaakkola, A. S. Willsky posted by 3 people yaroslavvb davidr pcarbo
	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
	Role of Models in Statistical Analysis [My Copy] Statistical Science, Vol. 5, No. 2. (1990), pp. 169-174. by D. R. Cox posted by 5 people eisdur jake yaroslavvb Statistics_and_Social_Science Pragmatist
	Causality: Some Statistical Aspects [My Copy] by D. R. Cox posted by 5 people jake yaroslavvb Statistics_and_Social_Science Pragmatist HugoMarcelo
	Stability and generalization [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 499-526. by Olivier Bousquet, Andr&\#233; Elisseeff posted by 4 people yaroslavvb pechyony olivierbousquet davidr
	How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis [My Copy] The Computer Journal, Vol. 41, No. 8. (1998), pp. 578-588. by Chris Fraley, Adrian E. Raftery posted by 10 people yaroslavvb arsyed wnpx archroad dgront ctacmo KaraNagai Statistics_and_Social_Science Biostatistics robertlischke
	How to write consistently boring scientific literature [My Copy] Oikos, Vol. 116, No. 5. (May 2007), pp. 723-727. by Kaj Sand-Jensen posted by 212 people gvdh kimbatchelor welliegirl DavidG67 nellapower jimo75 sachingarg claudiushauptmann jmzhuo Horduna toszko chriswillmott mthomure Thaverkamp ibre sfalsharif lafuente Sergey_gerbek Torsten_Holmer aaltenburger tminze mmborges Dannycoutinho soniapereira Anita13 simonhearne rudalert ulrichs UWA Science Communication duel_jetty nmsx TVB timsenior livingthingdan alhoori poojamaj letillett christianholz amynmoore pvdg leonardo Med Anthro @ UF cgravlee bhengeveld ansobol jrw proportional wendygarnica jsatkosk eumelus pdpcosta AnthonySoprano wasteland93 buchgeher lmichan NIlz sxs732 artaban421 kieranhood rabit pauljhurtado SantoshKalwar aldra zchen75 nbawia Zephyrus jgebbie lanmuzi amadeusstevenson akuhn metatheory Fneesen hkimura beete CamilleH luciensamary jcreed R_C_Cordeiro thenose cyounkin robertlischke bspackman lyss Scholarly Communication sebpaquet c_hughes klauso kaiserm tomhebbron tarokiritani nGrenier girabbit jaia CulCog alexander_bauer Gaetan cjhall mdwelsh231 sniklas polivares MurphysLab ckai1 tux2000 petko_bogdanov carelcad Tomste yangjustinc thegoose michaelbanks mrt2k9 marekrud ibuch pawelsobko klexa tunheim Elley AJCann amoreno operon McCammon barry jod999 guhjy pick600 leliavski ombamawu mjoach Publicase Thermaneutist gwallau tnhh signori birte bertelsen mmuecke Mohan-S Dori2008 konstantinos charoy flips arsyed sjefarrar rohanlowe syah jjray zzh1986 brownstudy abellogin fungal sgeuter jkglenn psique anphony ajaymalik jjrohal markusd conradlee mschmer gkoenig natstreet BergmanLab cisevol silberbauer Khavkin's lab ArtemPankin druvus allysonlister dullhunk VGreiff dbk ultrascichick ahaeusler rickl brian toomash orca Borelli cmunson lfriedl sterovetta maike echinotrix awooga yEvb0 scpeters jford pratap williamdwalker sjones pseudopharm cjeans sensesublime TaqSys soumitri GeeSharpMinor tumo rebeccamancy ascharle suizan kaniko erklaerbaer boosda kdl Neuroscience STS ColDyn feminist_technoscience OrganizationResearch Enactment Academic Writing, Literacies and Discourse hejibo randomname
	The meaning and use of the area under a receiver operating characteristic (ROC) curve. [My Copy] Radiology, Vol. 143, No. 1. (1 April 1982), pp. 29-36. by J. A. Hanley, B. J. McNeil posted by 21 people gtaralds olberd tuckmobile lingendj misonneh Flit neteler nachtalp microserf mdreid Repton frohike jarasch bootsy girschick biodiversity_conservation Global_biodiversity_model Bioinformatics Statistical Machine Learning adoms tubbens
	A Global Geometric Framework for Nonlinear Dimensionality Reduction [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323. by J. B. Tenenbaum posted by 35 people pingmei seb1 Cavadini akuhn banus caicai klmoravec weiweiguo rramirezp babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf ur-cls T_lab metric_embeddings ColDyn DavidSchulz teesid jung_dalglish mctor matjes
	Learning Bayesian network classifiers by maximizing conditional likelihood [My Copy] In ICML '04: Twenty-first international conference on Machine learning (2004) by Daniel Grossman, Pedro Domingos posted by 3 people yaroslavvb JoSeK davidr
	Quantum Theory From Five Reasonable Axioms [My Copy] (25 Sep 2001) by Lucien Hardy posted by 11 people nagyd csferrie paradox ansobol jrw wnoise TooMuchCoffeeMan scis0000001 kevina NitinCR qwermish
	Quantum Mechanics as Quantum Information (and only a little more) [My Copy] (8 May 2002) by Christopher A. Fuchs posted by 12 people egcavalcanti Philosophy of physics qwermish paradox ansobol jrw wnoise gane5h scis0000001 misha kas random3f
	Probabilistic latent semantic indexing [My Copy] In SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval (1999), pp. 50-57. by Thomas Hofmann posted by 21 people statistic01 codex pprett LanguageModeling ilps geomblog jelsas adg creswick bfraser danieltruemper shilad Phanix xiaoyan2006 fwkroon josepe GroupLens VT_DLRL abellogin ykuoka ejmeij
	Information Theory and Statistics: A Tutorial (Foundations and Trends in Communications and Information The) [My Copy] (15 December 2004) by Imre Csisz4ar, Paul Shields, Imre Csiszar posted by 4 people yaroslavvb davidr arkas UoA_ODT
	Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions [My Copy] Machine Learning, Vol. 43, No. 3. (June 2001), pp. 211-246. by K. S. Azoury, M. K. Warmuth posted by 2 people yaroslavvb davidr
	Computing a nearest symmetric positive semidefinite matrix [My Copy] Linear Algebra and its Applications, Vol. 103 (May 1988), pp. 103-118. by Nicholas J. Higham posted by 4 people rpadams ctacmo Statistics_and_Social_Science Biostatistics
	Gaussian-Wishart Process Classification [My Copy] (2004) by Zhihua Z. James posted by 3 people rpadams davidr scis0000001
	What Every Computer Scientist Should Know About Floating-Point Arithmetic [My Copy] ACM Computing Surveys, Vol. 23, No. 1. (1991), pp. 5-48. by David Goldberg posted by 15 people ryidle GMariano higepon derek_farn ansobol brian yaroslavvb jrw croys ozarfreo sachingarg dguibert chrisatcite bsilverthorn pedagand
	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
	Difference Equations : From Rabbits to Chaos (Undergraduate Texts in Mathematics) [My Copy] (12 April 2005) by Paul Cull, Mary Flahive, Robby Robson posted by 2 people yaroslavvb davidr
	Algebraic Statistics for Computational Biology [My Copy] (22 August 2005) posted by 4 people Statistical Machine Learning mdreid ansobol BarrosH
	A new look at the statistical model identification [My Copy] Automatic Control, IEEE Transactions on, Vol. 19, No. 6. (06 January 2003), pp. 716-723. by H. Akaike posted by 22 people anitabanerji Borelli sbarthelme TLVincent filippone bennett_tg fabiobayer gwenknight tvdbulck michaelbarton Forest inventory and monitoring jford ppeeling tyler abrentnall cursonivel1 ntvandehey QFRMC_ConsumerCredit cursonivel1 Wisconsin PET stefanoallesina durduran
	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
	Markov Chain Monte Carlo in Practice [My Copy] (01 December 1995) by W. R. Gilks posted by 19 people carmenrg kanicka famuvie SargeATM mthomure ppeeling rpadams eme Borelli metamerist wasteland93 lcigler Xavier astro roys fredguilloux ldietz markusd przem
	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
	Statistical Learning Theory: A Primer [My Copy] Int. J. Comput. Vision, Vol. 38, No. 1. (June 2000), pp. 9-13. by Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio posted by 4 people thefillm yaroslavvb gangli tulip
	Reference Priors with Partial Information [My Copy] Biometrika, Vol. 85, No. 1. (1998), pp. 55-71. by D. Sun, J. O. Berger posted by 2 people yaroslavvb davidr
	On the Convergence Properties of the EM Algorithm [My Copy] The Annals of Statistics, Vol. 11, No. 1. (1983), pp. 95-103. by C. F. Jeff Wu posted by 8 people reconnie rily erhanbas austin987 anoopsarkar davidr tvdbulck juokcho
	Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions [My Copy] Mach. Learn., Vol. 43, No. 3. (June 2001), pp. 211-246. by Katy S. Azoury, M. K. Warmuth posted by 3 people bsilverthorn yaroslavvb davidr
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	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
	What energy functions can be minimized via graph cuts? [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 2. (2004), pp. 147-159. by V. Kolmogorov, R. Zabin posted by 10 people daniel51 haiyeong herrk thsant lfriedl rv101 marrtin qwermish telnet2 tiantp
	Categorical Data Analysis (Wiley Series in Probability and Statistics) [My Copy] (22 July 2002) by Alan Agresti posted by 10 people abrentnall iamtheabelman brian jake garyfeng gareth dbgrant Statistics_and_Social_Science ReadingLab dstanton_uf
	Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science) [My Copy] (21 June 2001) posted by 7 people thsant seanyuan gilja kohei-h ppeeling rpadams Carles
	The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics) [My Copy] (25 May 2001) by Christian P. Robert posted by 2 people rpadams davidr
	Combining Clustering and Co-training to Enhance Text Classification Using Unlabelled Data [My Copy] by Bhavani Raskutti, Herman Ferra, Adam Kowalczyk posted by 3 people gangli davidr tulip
	Analyzing the Effectiveness and Applicability of Co-training [My Copy] In CIKM (2000), pp. 86-93. by Kamal Nigam, Rayid Ghani posted by 4 people davidr buescher76 mukundn bpacker
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	A tutorial on learning with bayesian networks [My Copy] (# 1995) by D. Heckerman posted by 53 people Sergey_gerbek ingo Gorzomagnificent pwz mhofree soidis m0ta korakot A_Olympia neilernst JoSeK jrw waffle168 davidbroadhurst biplabbose tsprau2 garyfeng aufrank grimm okarsligil rkdeexit bayesian mystiphiliac kresala stvijayanand lyongu eustatic tystl wnpx ddahlem pverstra proportional llamerada torch eman_fcis cerkut tvdbulck jaspervoskuilen ajylha eacebo helsley pprett Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs ReadingLab ur-cls Bioinformatics macc contact-id dcastro tessaverhoef frohike
	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
	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
	Density Estimation for Statistics and Data Analysis [My Copy] (01 April 1986) by B. W. Silverman posted by 12 people Klapouchy asterix77 filippone jrnold yaroslavvb alexr rpadams balajis dgront Autoregulation shimazaki xiaobeizhao
	Wishart processes: A statistical view of reproducing kernels [My Copy] (2004) by Z. Zhang, D. Yeung, J. Kwok posted by 2 people rpadams davidr
	The Structure of Collaborative Tagging Systems [My Copy] (18 Aug 2005) by Scott Golder, Bernardo A. Huberman posted by 324 people vellino aosbat lucybuykx pajoma borkurdotnet BergmanLab cisevol Lucavax nandipati jzm10nyc makrehchi xomic k12musicman mboehmer andreacapocci szymek arjen ekrsulov Information Integration Architecture mxro zpinhead MariaChiaraP eLearning in Leicester AJCann thegoose AnthonySoprano kevinemamy alhoori sirdjsmith mrt2k9 ganden maplover spiritjoy wmdeneve christianholz ssw cgl janicewarner POPB jkstewart bluelena69 VGreiff cimbrone narroyo dullhunk eduardodiaz trisha karimlakhani draggin rabourn nettraq dmolla ericyu korakot jmankoff magnusenger A_Olympia rickl ansobol jomeyertons tyfn pdlug elsantosneto FG mcphee palakorn sabunome ecolab garyfeng xxc cc286 weimer nkorf takeha-e ChaTo pmounier alisonruth ldietz yishuai carolh12 sachac holidaynow wcrosbie libah jrsinclair jgodara jryall zelig ohkura cephas Jaykul Jenneke yish weelassie ctreude cyph3r scottmoody elainelally tolosoft davidleitner sids worksmarts kapil1312 luise darcyduke echi schade dartar meikipp technocrat ElFishski cveres robertodandi kaz24 claudioferreira tintos shilad beatty xrzhao ramonovelar ayanos jodi craigtalbert styliani entropy mbraly gphroh Sulpicus hopst901 wasp msn ianturton deynard fukken ak krisl ilya cavalo j_hsieh mettadata yanbe dk1357 lag omo rashford majak lanubile cristinaalp wrijneveld twetering shashikant PhilipEvans brusilovsky cronopio1979 fnarne myudelson pool avivagabriel itst rgb eduardocruz jrhode brunomelo dalooza vikx01 bug naufraghi KathrinJanke jstowe mzygmunt azygmunt mp4man astab GregorSuhr toben82 starchaser Tellima KYati searchy MoritzStefaner harryzou frankieta josepe timothee flavian_vasile simons mattlandau Bernd benhockenberry abetaha dpdearing mook3000 hqcspring mistermagister chirayu_kong bangb amarois pauldonner abonchen PaulBHartzog hanshee quinkell eitelman kaineci jenna ocool lnani anansi thorisalaptop GJNauta rastrol7 AlisonBabeu justaube laurobeltrao ricardoaraujo chiapet discopatrick telekas JimFolk ungethym menjo jima blamb jryall-tags JSicot yuyuyu mjchernyk cb9345 markymaypo RunningHorse PatParslow shirleyearley gconaldi cmschweda MarkLaurent CMU-HCII Philosophy_of_Information Blog_and_Wiki_Research Drexel-HCI ReadingLab CSCW Drexel-eVoting CHISEL Librarians Semantic-Social-Networks GroupLens Wikipedia utoronto-iml OpenArchive CoP_CMS mathgamespatterns semantic-multicast-routing folksonomy Sciences_communication_societe ETEC533 dtl vds-arg SFX-Verde-team-MITLibraries STS OpenVanilla AI eni SITCRC CDG WatzekLibrary social_navigation Web2 ComplexAdaptiveSystems EnvironmentalStudies localization ilyajune FAL Footprints RiSE nlab pileWorks kickOffTUG-Robocup SocialMedia EdTech FacDev TeachOnline AGH-IISG Adaptive-Web TaggingAndSemantics MeAggregator ARTFL oktave-labs Foresight CSU_School_of_Education Web2-0_Education Library 2.0 Procyon alkal markasoper abellogin Skinner lxh468 choisyster ffloeck callatax kenneth1ny arasbm Social Web bluecricket Deathweaver cherhan acslab ACS Mohan-S Tonsertorben gionis donade janetyc wangyiding paulovn azollers michellutz betaparticle fryanpan teddyyo randomname uhland KOKI0001 vanesam
	Strictly Proper Scoring Rules, Prediction, and Estimation [My Copy] Journal of the American Statistical Association, Vol. 102, No. 477. (March 2007), pp. 359-378. by Gneiting, Tilmann, Raftery, E. Adrian posted by 5 people cyberwulf mdreid abrentnall QFRMC_ConsumerCredit Statistical Machine Learning
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	The discovery of structural form. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 31. (5 August 2008), pp. 10687-10692. by Charles Kemp, Joshua B. Tenenbaum posted by 34 people briordan lmaurits anon_pl mthomure TRHvidsten ckai1 prydzews qwermish thiagomanel linhares vlachmore stober Optimization nojhan stringertheory thefillm amatos markstoehr uhhhhhhhhhhm A_Olympia logics of knowledge tmmurali jmchauvet shigepong rsantana tbloomf kevinemamy markusd jborn deubel guhjy Zephyrus Roswell Cancer Crosstalk jago
	Introduction to Machine Learning: Class Notes 67577 [My Copy] (23 Apr 2009) by Amnon Shashua posted by 10 people mthomure dpf Statistical Machine Learning mdreid christiand belion ansobol Thermaneutist pdlug ima
	Matrix Analysis and Applied Linear Algebra [My Copy] (15 February 2001) by C. D. Meyer, Carl Meyer posted by 8 people almadana zhensong yaroslavvb jekky CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
	The Structure of Scientific Revolutions [My Copy] (15 December 1996) by Thomas S. Kuhn posted by 47 people Semantic-Social-Networks lisah2u Centre de Recherches Interdisciplinaires yyfwuhan trm005 rickl INK-SSCI-SCI@CiteuLike.org INK-SSCI-SCI Adso jjray emmagreenhalgh qaramazov A_Olympia carlblesius scholz tsprau2 Taragui zinp jcampos amoore88 irinas bkohler tystl pedagogicapprentice dullhunk ctacmo terumiyake boltmwj1 pe3 IOs fukei esayre mzygmunt gareth rsantana bamsemums pemdp Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs Statistics_and_Social_Science Discourse_analysis Biostatistics Sociology hst-bmi MASSS girschick
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	Understanding the Behavior of Co-training [My Copy] by K. Nigam, R. Ghani posted by 5 people gangli davidr sids tulip Harrie
	Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics) [My Copy] (01 December 2004) by Phillip I. Good posted by 10 people dejang nguyendt brian pbellec ctacmo jclau frohike Statistics_and_Social_Science Biostatistics Bioinformatics
	Error bars in experimental biology [My Copy] J. Cell Biol., Vol. 177, No. 1. (9 April 2007), pp. 7-11. by Geoff Cumming, Fiona Fidler, David L. Vaux posted by 62 people Jporci pjmaybank inbetweener tt srmblack abhishek_tiwari druvus bangyuzhou schoeband brianb cambray dbikard rec3141 ajaymalik Gorzomagnificent daforerog sen_cheng yangjustinc maximilianh qwermish bayesian ntakano flips inesdesantiago brian ana batallah manduca kuhn Borelli dayjm kristina chad_davis tny dullhunk rabu lechristophe nelmor jdelcampo fishtank emmahe lisa1 Daria_G devender bmaust cabbagezs natstreet winterschlaefer krokicki loopback007 structural_bioinformatics Bioinformatics VisionLab FlowCytometry Microbial-Ecology wilbur tdmckee renatomilani delenca arindrartow guhjy mjoach
	Optimization by Vector Space Methods (Series in Decision and Control) [My Copy] (25 January 1997) by David G. Luenberger posted by 4 people rpadams davidr joeionnojitsu eyliu