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	Challenges in statistical machine learning [My Copy] Statistica Sinica, Vol. 16, No. 2. (2006), pp. 307-322. by J. Lafferty, L. Wasserman posted to survey-paper machine-learning by mthomure on 2009-11-09 17:43:53 as
	Some methods for classification and analysis of multivariate observations [My Copy] In Proc. Fifth Berkeley Symp. on Math. Statist. and Prob., Vol. 1 (1967), pp. 281-297. by J. MacQueen posted to machine-learning by mthomure on 2009-11-07 23:11:02 as
	Sur la division des corps matériels en parties [My Copy] Bull. Acad. Polon. Sci. Cl. III. 4 (1956), pp. 801-804. by Hugo Steinhaus posted to machine-learning by mthomure on 2009-11-07 23:08:15 as
	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 to neural-networks machine-learning dimensionality-reduction by mthomure on 2009-11-07 22:15:50 as along with 26 people and 9 groups 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 ygarb ancechu structural_bioinformatics ReadingLab MathBio Bioinformatics Cybernetics pileWorks S-Lab Biomedical_Cybernetics AQUA-FONTIS-Study
	An Introduction to MCMC for Machine Learning [My Copy] Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 5-43. by Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan posted to mcmc machine-learning by mthomure on 2009-11-07 22:14:49 as along with 15 people and 1 group dakelley hgfernan xuzhe83 pqnga phil511 pdlug ldietz mshafiei wasteland93 bhaddow dowlingj markusd kozaki robotact delip Forest inventory and monitoring
	On spectral clustering: Analysis and an algorithm [My Copy] (2001) by A. Ng, M. Jordan, Y. Weiss posted to machine-learning linear-algebra clustering by mthomure on 2009-11-07 21:03:11 as along with 13 people and 1 group frank_lin jrodriguez mbregman ajay81 pdlug walkking albher dimatura kohei-h alanzhaocs delip varming ecome Computer_Graphics
	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 to machine-learning graphical-model by mthomure on 2009-11-07 21:02:27 as along with 6 people kabus nlarusso pdlug ldietz g000nz0 zeppe
	Graphical Models in a Nutshell [My Copy] In Introduction to Statistical Relational Learning (2007) by Daphne Koller, Nir Friedman, Lise Getoor, Ben Taskar posted to machine-learning graphical-model by mthomure on 2009-11-07 21:00:10 as along with 4 people buescher76 markusd pdlug ldietz
	Introduction to Machine Learning: Class Notes 67577 [My Copy] (23 Apr 2009) by Amnon Shashua posted to tutorial machine-learning by mthomure on 2009-11-07 20:09:16 as along with 8 people and 1 group dpf mdreid christiand belion ansobol Thermaneutist pdlug ima Statistical Machine Learning
	A Tutorial on Spectral Clustering [My Copy] (2008) by Ulrike von Luxburg posted to machine-learning clustering by mthomure on 2009-11-07 20:08:02 as along with 2 people pdlug mapio
	Neural Networks: A Comprehensive Foundation [My Copy] (16 July 1998) by Simon Haykin posted to prototype-learning machine-learning by mthomure on 2009-10-12 22:57:06 as along with 14 people fernandohbc sdonatti matteodefelice tomsharp beete Viperus ngiann gatsoulis gr650 paaen napvasconcelos MarkVanHeeswijk thefillm agunduz
	An elementary proof of a theorem of Johnson and Lindenstrauss [My Copy] Random Structures and Algorithms, Vol. 22, No. 1. (2003), pp. 60-65. by Sanjoy Dasgupta, Anupam Gupta posted to machine-learning dimensionality-reduction by mthomure on 2009-09-15 18:54:08 as
	Random projection in dimensionality reduction: applications to image and text data [My Copy] In Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001) (26-29 August 2001), pp. 245-250. by Ella Bingham, Heikki Mannila posted to machine-learning dimensionality-reduction by mthomure on 2009-09-15 17:57:33 as along with 1 person and 1 group sona Random Subspace Method
	Dimensionality reduction by random mapping: Fast similarity computation for clustering [My Copy] In Proceedings of IJCNN'98, International Joint Conference on Neural Networks, Vol. 1 (1998), pp. 413-418. by Samuel Kaski posted to machine-learning dimensionality-reduction by mthomure on 2009-09-15 17:53:24 as
	Experiments with a new boosting algorithm [My Copy] In Machine Learning: Proceedings of the Thirteenth International Conference (1996), pp. 148-156. by Yoav Freund, Robert E. Schapire posted to machine-learning by mthomure on 2009-05-05 01:16:59 as
	UCI Machine Learning Repository [My Copy] (2007) by A. Asuncion, D. J. Newman posted to machine-learning by mthomure on 2009-05-05 01:09:44 as
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted to machine-learning by mthomure on 2009-05-05 00:57:52 as along with 8 people gabriprat santi515 jdu kliger sona ngarera maheshj drivard
	Landscape of clustering algorithms [My Copy] Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, Vol. 1 (2004), pp. 260-263 Vol.1. by A. K. Jain, A. Topchy, M. H. C. Law, J. M. Buhmann posted to clustering machine-learning by mthomure on 2009-05-05 00:55:07 as along with 5 people and 1 group kwoodsend J0y marrtin suizan dimatura Pattern-Analysis
	Artificial neural networks: a tutorial [My Copy] Computer In Computer, Vol. 29, No. 3. (1996), pp. 31-44. by A. K. Jain, Jianchang Mao, K. M. Mohiuddin posted to machine-learning by mthomure on 2009-05-05 00:46:53 as along with 5 people Fujisaki lanmuzi dcastro aarre fongenae
	Support Vector Machines [My Copy] IEEE Intelligent Systems, Vol. 13, No. 4. (1998), pp. 18-28. by Marti A. Hearst posted to machine-learning by mthomure on 2009-05-05 00:42:10 as
	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 to machine-learning by mthomure on 2009-05-05 00:36:59 as along with 53 people and 8 groups amoreno bklynbam ianhales pascanur mtecha roys wasteland93 tkollar matjes hawkes db344 ashleygeorge rodri mhp0814 yonatanf gkoenig muraken robotact albert_swart gulkur 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 tgyork asterix77 yangxian ulmer julianpan rlichten wenhan huangsong tdahl searchingspeech2010 MiGen Project Autoregulation Biostatistics Computational-Genomics Bioinformatics Neuroscience MAML
	A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models [My Copy] (April 1998) by J. A. Bilmes posted to machine-learning by mthomure on 2009-05-05 00:28:48 as
	Operations for Learning with Graphical Models [My Copy] Journal of Artificial Intelligence Research, Vol. 2 (1 Dec 1994), pp. 159-225. by Wray L. Buntine posted to bayesian-networks machine-learning by mthomure on 2009-05-05 00:20:06 as
	A Tutorial on Learning With Bayesian Networks [My Copy] (March 1995) by David Heckerman posted to bayesian-networks machine-learning by mthomure on 2009-05-05 00:16:23 as along with 2 people rockelegancy installe
	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 to machine-learning by mthomure on 2009-05-04 23:47:18 as along with 17 people gavin1332 klmoravec stharward awg2 akastrin h-chi thefillm RafaUsyd balicea yama_tah alexmaclennan gane5h polydicht yangxian abominable EJCKelkboom albertleemon
	Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference [My Copy] (01 September 1988) by Judea Pearl posted to artificial-intelligence machine-learning by mthomure on 2009-05-02 20:11:50 as along with 17 people alexander_bauer psychorav rockelegancy pprett tvdbulck tdlt leidner pcarbo fheintz wnpx wasteland93 fsteeg lcigler 1like naegele quianominorleo robotact
	Automatic image annotation and retrieval using cross-media relevance models [My Copy] In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval (2003), pp. 119-126. by J. Jeon, V. Lavrenko, R. Manmatha posted to machine-learning by mthomure on 2009-03-27 22:06:43 as along with 8 people katherinerozo erain maximzhao eddymier johnson4623 jccaicedo rayzhang iansimon
	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 to machine-learning by mthomure on 2009-02-27 00:02:21 as along with 73 people and 11 groups fjanoos beete chrahn flieder ianhales asterix77 Gorzomagnificent ctacmo reconnie claurier tkollar rily matjes erhanbas austin987 chiarafulgenzi mhofree NChopin ppeeling zhouyanpharm thefillm 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 kvorg ifejobi DavidSchulz ykuoka singhsh trop_wizz eddymier schulz stkhu eegilbert weymouth wenhan qwermish iansimon SEM Biostatistics LanguageModeling ilps Statistics_and_Social_Science tulip LTN Computer_Graphics Computational_Information_Geometry Medical Image Analysis and Visualization @ OSU MBLAB
	A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) [My Copy] (20 February 1997) by Luc Devroye, Laszlo Györfi, Gabor Lugosi posted to machine-learning by mthomure on 2009-02-26 23:57:24 as along with 3 people olivierbousquet davidr joeionnojitsu
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted to machine-learning by mthomure on 2009-02-26 23:53:25 as along with 54 people and 6 groups fjanoos pjmaybank emailhy pingmei bklynbam gavin1332 ecome psychorav mircea longtop resilla bertelsen ocs sugarexpletive bgibson tkf emre haiyeong h-chi brian sbarthelme bayes mboehmer paulclinger thefillm stibor ppeeling yaroslavvb sdvillal nojhan gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid robotact Hoertnagl matjes eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat Tracking Methods EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
	Active Learning Literature Survey [My Copy] No. 1648. (2009) by Burr Settles posted to machine-learning by mthomure on 2009-02-23 18:14:49 as
	Boosting the margin: a new explanation for the effectiveness of voting methods [My Copy] Annals of Statistics, Vol. 26, No. 5. (1998), pp. 1651-1686. by Peter Bartlett, Yoav Freund, Wee S. Lee, Robert E. Schapire posted to machine-learning by mthomure on 2009-02-02 20:09:12 as
	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 to machine-learning by mthomure on 2009-02-02 20:04:18 as along with 35 people and 6 groups singhsh TLVincent module qluo q_w_e_r_t_y makrehchi Borelli sbarthelme jjrodriguez cen4ik jmetzen MosesCheckley ldietz vavi dquest sdvillal xiaoyan2006 dwf camu schlauchi vmoa drivard nklee imrchen kmdaily gsiwo tgyork idonaldson napvasconcelos cdeane haiyeong AbnerCYH isimpson guhjy nherveg Bioinformatics Crypto VT_DLRL Randomness LIVIA BergmanLab
	How Boosting the Margin Can Also Boost Classifier Complexity [My Copy] In Proceedings of the 23 rd International Conference on Machine Learning (2006) by Lev Reyzin, Robert E. Schapire posted to machine-learning by mthomure on 2009-02-02 20:02:32 as
	A tutorial on Principal Components Analysis [My Copy] (26 February 2002) by Lindsay I. Smith posted to machine-learning by mthomure on 2009-02-02 20:00:17 as
	Scaling to very very large corpora for natural language disambiguation [My Copy] In ACL '01: Proceedings of the 39th Annual Meeting on Association for Computational Linguistics (2001), pp. 26-33. by Michele Banko, Eric Brill posted to machine-learning by mthomure on 2009-01-15 23:45:20 as along with 4 people holopoj whym vlachmore kawatan
	Converting Semantic Meta-Knowledge into Inductive Bias [My Copy] In Proceedings of the 15th International Conference on Inductive Logic Programming (August 2005) by J. Cabral, R. C. Kahlert, C. Matuszek, M. Witbrock, Summers posted to machine-learning by mthomure on 2009-01-15 22:44:10 as
	Unifying Logical and Statistical AI [My Copy] In Proceedings of the Twenty-First National Conference on Artificial Intelligence (2006), pp. 2-7. by Pedro Domingos, Stanley Kok, Hoifung Poon, Matt Richardson, Parag Singla posted to machine-learning statistical-models by mthomure on 2009-01-15 00:58:49 as
	On the Optimality of LambdaRank [My Copy] (November 2008) by Pinar Donmez, Krysta Svore, Christopher J. C. Burges posted to information-retrieval machine-learning by mthomure on 2008-12-14 03:01:16 as
	Inducing Features of Random Fields [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 19, No. 4. (April 1997), pp. 380-393. by Stephen Della Pietra, Vincent Della Pietra, John Lafferty posted to machine-learning by mthomure on 2008-12-13 00:57:00 as along with 7 people and 2 groups zzb3886 lfriedl alterego bhaddow whym mmunson chechetka ReachGrasp Computational Cognitive Neuroscience Lab
	Markov Chain Monte Carlo in Practice [My Copy] (01 December 1995) by W. R. Gilks posted to machine-learning by mthomure on 2008-12-13 00:54:53 as along with 17 people and 1 group carmenrg kanicka famuvie SargeATM ppeeling rpadams eme Borelli metamerist wasteland93 lcigler Xavier roys fredguilloux ldietz markusd przem astro
	Generalized Iterative Scaling for Log-Linear Models [My Copy] Annals of Mathematical Statistics, Vol. 43, No. 5. (1972), pp. 1470-1480. by J. N. Darroch, D. Ratcliff posted to machine-learning by mthomure on 2008-11-21 21:25:54 as
	Markov logic networks [My Copy] Machine Learning, Vol. 62, No. 1-2. (February 2006), pp. 107-136. by Matthew Richardson, Pedro Domingos posted to machine-learning by mthomure on 2008-11-20 07:15:09 as along with 13 people tkollar kabus jmchauvet tvdbulck fgeerts robotact vlachmore pcarbo iris_2001 iansimon roys srp33 francolq
	An Introduction to MCMC for Machine Learning [My Copy] Machine Learning (January 2003), pp. 5-43. by C. Andrieu, N. de Freitas, A. Doucet, M. I. Jordan posted to machine-learning mcmc stochastic by mthomure on 2008-11-14 07:24:20 as
	On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes [My Copy] In Advances in Neural Information Processing Systems 14 (2002) by Andrew Y. Ng, Michael I. Jordan edited by T. G. Dietterich, S. Becker, Z. Ghahramani posted to machine-learning by mthomure on 2008-11-14 07:21:21 as along with 1 person robotact
	Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning [My Copy] In Proceedings of the 13th International Joint Conference on Artificial Intelligence (1993), pp. 1022-1029. by Usama M. Fayyad, Keki B. Irani edited by Ruzena Bajcsy posted to machine-learning by mthomure on 2008-10-29 04:34:19 as
	Supervised and Unsupervised Discretization of Continuous Features [My Copy] In Proceedings of the Twelfth International Conference on Machine Learning (1995), pp. 194-202. by James Dougherty, Ron Kohavi, Mehran Sahami edited by Armand Prieditis, Stuart Russell posted to machine-learning by mthomure on 2008-10-29 04:01:06 as
	Toward Statistical Predicate Invention [My Copy] In SRL2006: Open Problems in Statistical Relational Learning (2006) by Stanley Kok, Pedro Domingos posted to machine-learning by mthomure on 2008-10-27 06:47:38 as
	An Introduction to Conditional Random Fields for Relational Learning [My Copy] In Introduction to Statistical Relational Learning (2007), pp. 93-128. by Charles Sutton, Andrew Mccallum edited by Lise Getoor, Ben Taskar posted to machine-learning by mthomure on 2008-10-27 06:16:29 as along with 1 person weiweiguo
	Map-Reduce for Machine Learning on Multicore [My Copy] In Advances in Neural Information Processing Systems 19 (2007), pp. 281-288. by Cheng-Tao Chu, Sang K. Kim, Yi-An Lin, et al.Yuanyuan Yu, Gary Bradski, Andrew Y. Ng, Kunle Olukotun edited by Bernhard Schölkopf, John Platt, Thomas Hofmann posted to cluster-computing machine-learning by mthomure on 2008-10-27 05:41:44 as

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mitchell-group	23
cognitive-science	23
segmentation	15
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cellular-automata	14
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mthomure's machine-learning [89 articles] Export

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