Tag machine-learning [at least 200 articles] Export

Recent papers classified by the tag machine-learning.

	Supervised reconstruction of biological networks with local models [My Copy] Bioinformatics, Vol. 23, No. 13. (1 July 2007), pp. i57-65. by Kevin Bleakley, Gerard Biau, Jean-Philippe Vert posted to vert svm supervised-machine-learning reconstruction machine-learning graph by seb1 on 2009-11-07 22:17:42 as along with 3 people ptrobajo anf shigepong
	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 14 people and 1 group 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 12 people and 1 group 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 5 people nlarusso pdlug ldietz g000nz0 zeppe
	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
	Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (30 October 2009), 365. by Stefano Lise, Cedric Archambeau, Massimiliano Pontil, David Jones posted to svm protein-protein-interaction machine-learning by kshameer on 2009-11-06 08:43:08 as along with 4 people zwang phoenixzxl higueruelo neils
	Kernel ellipsoidal trimming [My Copy] Computational Statistics & Data Analysis, Vol. 52, No. 1. (15 September 2007), pp. 309-324. by A. Dolia, C. Harris, J. Shawetaylor, D. Titterington posted to robust_statistics machine-learning by fabgoos on 2009-11-03 15:42:53 as along with 1 person daniel51
	Robust fitting of mixtures using the trimmed likelihood estimator [My Copy] Computational Statistics & Data Analysis, Vol. 52, No. 1. (15 September 2007), pp. 299-308. by N. Neykov, P. Filzmoser, R. Dimova, P. Neytchev posted to robust_statistics machine-learning gaussian-mixtures by fabgoos on 2009-11-03 15:38:09 as along with 1 person dgarcia
	Machine Learning and Robust Data Mining [My Copy] Computational Statistics & Data Analysis, Vol. 52, No. 1. (15 September 2007), pp. 151-154. by C. Croux, E. Gallopoulos, S. Vanaelst, H. Zha posted to robust_statistics machine-learning by fabgoos on 2009-11-03 15:11:57 as
	mGene: Accurate SVM-based gene finding with an application to nematode genomes [My Copy] Genome Research, Vol. 19, No. 11. (29 November 2009), pp. 2133-2143. by Gabriele Schweikert, Alexander Zien, Georg Zeller, et al.Jonas Behr, Christoph Dieterich, Cheng S. Ong, Petra Philips, Fabio De Bona, Lisa Hartmann, Anja Bohlen, Nina KrÃ¼ger, SÃ¶ren Sonnenburg, Gunnar RÃ¤tsch posted to svm machine-learning genome-analysis gene-finding by kshameer on 2009-11-03 08:10:04 as along with 2 people natstreet farhat
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted to pattern-recognition machine-learning books by bklynbam on 2009-10-30 00:22:20 as along with 50 people and 5 groups 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 kohei-h brianmc napvasconcelos teesid robotact Hoertnagl matjes eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
	Learning the parts of objects by non-negative matrix factorization [My Copy] Nature, Vol. 401, No. 6755. (21 October 1999), pp. 788-791. by Daniel D. Lee, Sebastian H. Seung posted to nonnegative-matrix-factorization machine-learning by fabgoos on 2009-10-28 16:39:17 as along with 9 people svozil briordan vlachmore dragonrez bcao giorgos phlow noa kenji4569
	Document clustering based on non-negative matrix factorization [My Copy] In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval (2003), pp. 267-273. by Wei Xu, Xin Liu, Yihong Gong posted to nonnegative-matrix-factorization machine-learning clustering by fabgoos on 2009-10-28 16:35:05 as along with 2 people apmonet pprett
	Convex and Semi-Nonnegative Matrix Factorizations [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. PP, No. 99. (21 November 2008), pp. 1-1. by C. Ding, T. Li, M. Jordan posted to spectral-clustering nonnegative-matrix-factorization machine-learning kernels by fabgoos on 2009-10-26 19:04:04 as
	Nonnegative matrix factorization and probabilistic latent semantic indexing: equivalence, chi-square statistic, and a hybrid method [My Copy] In AAAI'06: Proceedings of the 21st national conference on Artificial intelligence (2006), pp. 342-347. by Chris Ding, Tao Li, Wei Peng posted to nonnegative-matrix-factorization machine-learning latent-semantic by fabgoos on 2009-10-26 19:01:59 as
	Non-negative Matrix Factorization on Kernels [My Copy] PRICAI 2006: Trends in Artificial Intelligence (2006), pp. 404-412. by Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen posted to nonnegative-matrix-factorization machine-learning kernels by fabgoos on 2009-10-26 18:56:30 as
	Principled Hybrids of Generative and Discriminative Models [My Copy] Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on In CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1 (05 July 2006), pp. 87-94. by J. A. Lasserre, C. M. Bishop, T. P. Minka posted to machine-learning by rockelegancy on 2009-10-26 12:34:49 as along with 2 people ppeeling ldietz
	Identifying the Intent of a User Query Using Support Vector Machines [My Copy] In SPIRE '09: Proceedings of the 16th International Symposium on String Processing and Information Retrieval (2009), pp. 131-142. by Marcelo Mendoza, Juan Zamora posted to query machine-learning ir intent 2get by ctl on 2009-10-24 21:56:50 as
	Efficient streaming text clustering☆ [My Copy] Neural Networks, Vol. 18, No. 5-6. (July 2005), pp. 790-798. by S. Zhong posted to stream-mining on_line_learning machine-learning clustering by fabgoos on 2009-10-21 22:16:25 as along with 6 people and 1 group chrisd surajitray kamotaku78 irenas scis0000001 jread82 dbk-lab
	A Framework for Clustering Uncertain Data Streams [My Copy] Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on In ICDE '08: Proceedings of the 2008 IEEE 24th International Conference on Data Engineering (2008), pp. 150-159. by Charu C. Aggarwal, Philip S. Yu posted to stream-mining spectral-clustering on_line_learning machine-learning clustering by fabgoos on 2009-10-21 22:09:11 as along with 1 person kallberg
	Using automatically labelled examples to classify rhetorical relations: an assessment [My Copy] Natural Language Engineering, Vol. 14, No. 03. (2008), pp. 369-416. by R. Caroline Sporlede, S. Alex Lascaride posted to rhetorical-relations machine-learning discourse by henk-cul on 2009-10-21 19:53:28 as
	Temporal-Relational Classifiers for Prediction in Evolving Domains [My Copy] Data Mining, IEEE International Conference on, Vol. 0 (2008), pp. 540-549. by Umang Sharan, Jennifer Neville posted to temporal_dimension social_networks relational_models protein_networks machine-learning dynamicnetworks by krisl on 2009-10-20 20:36:58 as along with 2 people nliu82 RafG
	Unsupervised prediction of citation influences [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 233-240. by Laura Dietz, Steffen Bickel, Tobias Scheffer posted to prediction machine-learning influence citations by krisl on 2009-10-20 19:46:35 as along with 1 person jeonhyuk
	Machine Learning [My Copy] (01 March 1997) by Tom M. Mitchell posted to pac machine-learning by gagliol on 2009-10-18 17:00:18 as along with 40 people and 4 groups gavin1332 pinventado q_w_e_r_t_y librain gabriprat gokopal fiacobelli bgibson zhanwei agogoh3 ogenex imrchen gr650 ianwelch frohike misovalko harperf lrozo pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact jdu sfeige bundschu markusd TKU_CS DB Lab AI RiSE contact-id
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning lasso dimension-reduction book by abellogin on 2009-10-17 01:44:36 as along with 56 people and 10 groups singhsh 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 alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Content-based image retrieval at the end of the early years [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 12. (06 August 2002), pp. 1349-1380. by A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain posted to pattern-recognition machine-learning by gregdavisfromnj on 2009-10-15 15:45:58 as along with 12 people and 1 group sirdjsmith brothers paulovn autrusseau-f jccaicedo gyuli mthomure dvallet vitalaswp3 vitalaswp4 zeppe suzannelittle NETS-UAM
	Online large-margin training of dependency parsers [My Copy] In In Proc. ACL (2005), pp. 91-98. by Ryan Mcdonald, Koby Crammer, Fernando Pereira posted to nlp-parser machine-learning by kwoodsend on 2009-10-15 13:00:30 as
	Varying-Coefficient Models [My Copy] Journal of the Royal Statistical Society. Series B (Methodological), Vol. 55, No. 4. (1993), pp. 757-796. by Trevor Hastie, Robert Tibshirani posted to stream-mining statistics on_line_learning machine-learning by fabgoos on 2009-10-14 17:05:47 as along with 1 person reconnie
	Dynamic Generalized Linear Models and Bayesian Forecasting [My Copy] Journal of the American Statistical Association, Vol. 80, No. 389. (1985), pp. 73-83. by Mike West, P. Jeff Harrison, Helio S. Migon posted to stream-mining statistics on_line_learning machine-learning by fabgoos on 2009-10-14 16:36:35 as
	Neural Networks: A Comprehensive Foundation [My Copy] (16 July 1998) by Simon Haykin posted to 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
	Multiagent Systems: A Survey from a Machine Learning Perspective [My Copy] Autonomous Robots, Vol. 8, No. 3. (1 June 2000), pp. 345-383. by Peter Stone, Manuela Veloso posted to reinforcement-learning multi-agent machine-learning dai cooperation ai 2000 by ddahlem on 2009-10-09 22:45:13 as along with 3 people christiand pthimon Bc91
	Learning and Leveraging the Relationship between Architecture-Level Measurements and Individual User Satisfaction [My Copy] Computer Architecture, 2008. ISCA '08. 35th International Symposium on (15 July 2008), pp. 427-438. by A. Shye, B. Ozisikyilmaz, A. Mallik, et al.G. Memik, P. A. Dinda, R. P. Dick, A. N. Choudhary posted to machine-learning-in-architecture machine-learning by mamadoudiao on 2009-10-06 02:30:08 as
	Content-based book recommending using learning for text categorization [My Copy] In DL '00: Proceedings of the fifth ACM conference on Digital libraries (2000), pp. 195-204. by Raymond J. Mooney, Loriene Roy posted to recommender machine-learning explanation content-based collaborative-filtering by abellogin on 2009-10-05 17:05:54 as along with 3 people and 1 group asli2021 imrchen cpcreed Adaptive-Web
	Singular value decomposition and least squares solutions [My Copy] Numerische Mathematik, Vol. 14, No. 5. (29 April 1970), pp. 403-420. by G. Golub, C. Reinsch posted to svd machine-learning journal by abellogin on 2009-10-04 20:08:09 as along with 1 person fer
	Mining Association Rules between Sets of Items in Large Databases [My Copy] In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (FebruaryJune--FebruaryAugust~ 1993), pp. 207-216. by Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami edited by Peter Buneman, Sushil Jajodia posted to rules machine-learning internship-09 by abellogin on 2009-10-04 02:42:40 as along with 14 people jdu michaelmampaey radical bigga tetsus tvdbulck dolhani abonchen pollaeng amsantos imrchen conley gvdh Yanno
	Probabilistic Association Rules for Item-Based Recommender Systems [My Copy] In Proceeding of the 2008 conference on STAIRS 2008 (2008), pp. 36-46. by Sylvain Castagnos, Armelle Brun, Anne Boyer posted to rules recommender probabilistic-model personalization machine-learning collaborative-filtering by abellogin on 2009-10-02 19:10:41 as
	Whole program paths [My Copy] In PLDI '99: Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation (1999), pp. 259-269. by James R. Larus posted to machine-learning context-free-grammer by msakai on 2009-10-02 17:18:42 as
	LIBRUS: Combined Machine Learning and Homology Information for Sequence-based Ligand-Binding Residue Prediction [My Copy] Bioinformatics (28 September 2009), btp561. by Chris Kauffman, George Karypis posted to sequence prediction machine-learning ligand homology binding by neils on 2009-09-30 00:52:38 as
	Theme Topic Mixture Model: A Graphical Model for Document Representation [My Copy] (2004) by Mikaela Keller, Samy Bengio posted to topicmodeling topicmodel textanalysis machine-learning by krisl on 2009-09-26 01:14:10 as
	Combining Text and Heuristics for Cost-Sensitive Spam Filtering [My Copy] In In Proceedings of the 4th Computational Natural Language Learning Workshop (2000), pp. 99-102. by José M. Gomez Hidalgo, Manuel M. López, Enrique P. Sanz posted to stroz-friedberg spam_filters machine-learning heuristics email comparison classification by dmnapolitano on 2009-09-24 21:21:42 as
	A Bayesian Approach to Filtering Junk E-Mail [My Copy] In Learning for Text Categorization: Papers from the 1998 Workshop (1998) by Mehran Sahami, Susan Dumais, David Heckerman, Eric Horvitz posted to stroz-friedberg spam_filters naive_bayes machine-learning email classifiers bayesian_method by dmnapolitano on 2009-09-24 20:54:06 as along with 6 people and 1 group cchesher harperf dingdeng shilad dquercia ckanich GroupLens
	An evaluation of Naive Bayesian anti-spam filtering [My Copy] (7 Jun 2000) by Ion Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos, George Paliouras, Constantine D. Spyropoulos posted to stroz-friedberg spam_filters naive_bayes machine-learning email classification bayesian_method by dmnapolitano on 2009-09-24 15:58:16 as along with 2 people jjamor craigtalbert
	Automated recognition of brain region mentions in neuroscience literature. [My Copy] Frontiers in neuroinformatics, Vol. 3 (2009) by Leon French, Suzanne Lane, Lydia Xu, Paul Pavlidis posted to syntactic-features named-entity-recognition morphological-features machine-learning lexical-features crf by henk-cul to the group dbmi-nlp on 2009-09-21 15:43:13 as
	A review of feature selection techniques in bioinformatics [My Copy] Bioinformatics, Vol. 23, No. 19. (1 October 2007), pp. 2507-2517. by Yvan Saeys, Inaki Inza, Pedro Larranaga posted to svm review machine-learning feature-selection by stharward on 2009-09-18 19:59:06 as along with 27 people and 1 group Shibby zufar jjrodriguez briordan phoenixzxl ipark-kaist prerna svozil bertelsen VGreiff rsantana druvus jfr giovenko guhjy chad_davis aviad_work frohike grahamc shigepong lp2 cabbagezs ryanraaum vietanh0 eacosta aaalxy srp33 Bioinformatics
	SNP-PHAGE - High throughput SNP discovery pipeline [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (23 October 2006), 468. by Lakshmi Matukumalli, John Grefenstette, David Hyten, Ik Y. Choi, Perry Cregan, Curtis Van Tassell posted to tool snp-phage snp-discovery snp-calling snp pipeline machine-learning by n00c on 2009-09-17 19:53:45 as along with 6 people sandfire csrocha daforerog natstreet druvus guhjy
	Recognizing names in biomedical texts: a machine learning approach. [My Copy] Bioinformatics (Oxford, England), Vol. 20, No. 7. (1 May 2004), pp. 1178-1190. by GuoDong Zhou, Jie Zhang, Jian Su, Dan Shen, ChewLim Tan posted to named-entity-recognition machine-learning k_nearest_neighbor hmm biomedical by henk-cul to the group dbmi-nlp on 2009-09-16 20:06:34 as along with 4 people and 2 groups svozil arafalov irenas farzanehs Bioinformatics dbk-lab
	Predicting Biotransformation Potential from Molecular Structure [My Copy] Journal of Chemical Information and Computer Sciences, Vol. 43, No. 5. (1 September 2003), pp. 1636-1646. by Yu Borodina, A. Sadym, D. Filimonov, V. Blinova, A. Dmitriev, V. Poroikov posted to metabolite-prediction machine-learning by stharward on 2009-09-15 15:47:13 as
	Application of machine learning in SNP discovery [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006), 4. by Lakshmi Matukumalli, John Grefenstette, David Hyten, Ik Y. Choi, Perry Cregan, Curtis Van Tassell posted to snp-discovery snp-calling machine-learning algorithm by n00c on 2009-09-13 09:21:42 as along with 1 person and 1 group druvus Visiting Position
	Collective multi-label classification [My Copy] In CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management (2005), pp. 195-200. by Nadia Ghamrawi, Andrew McCallum posted to multilabel-classification machine-learning by rahOSU on 2009-09-11 21:50:08 as along with 3 people and 1 group yaroslavvb jread82 egibaja Multilabel Classification

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