Tag machine_learning [at least 200 articles] Export

Recent papers classified by the tag machine_learning.

	Inducing Features of Random Fields [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 4. (1997), pp. 380-393. by Stephen Della Pietra, Vincent J. Della Pietra, John D. Lafferty posted to machine_learning by maheshj on 2009-11-23 20:08:45 as along with 2 people rayzhang dsha
	An Introduction to Variable and Feature Selection [My Copy] Journal of Machine Learning Research (JMLR), Vol. 3 (2003), pp. 1157-1182. by Isabelle Guyon, André Elisseeff posted to surveys machine_learning feature_selection by bsilverthorn on 2009-11-21 22:28:13 as along with 8 people jeremygow cyberwulf eddymier jmetzen mercutio chad_davis sdvillal pprett
	Interacting meaningfully with machine learning systems: Three experiments☆ [My Copy] International Journal of Human-Computer Studies, Vol. 67, No. 8. (09 August 2009), pp. 639-662. by Simone Stumpf, Vidya Rajaram, Lida Li, et al.Weng-Keen Wong, Margaret Burnett, Thomas Dietterich, Erin Sullivan, Jonathan Herlocker posted to user-feedback nsf-cise machine_learning intelligent-systems by AlisonBabeu on 2009-11-20 20:06:45 as along with 1 person mboehmer
	Dynamic Multicore Resource Management: A Machine Learning Approach [My Copy] Micro, IEEE, Vol. 29, No. 5. (10 November 2009), pp. 8-17. by Jose F. Martinez, Engin Ipek posted to multicore modelling machine_learning by mmuecke on 2009-11-19 15:56:02 as
	Robot learning language — Integrating programming and learning for cognitive systems [My Copy] Robotics and Autonomous Systems, Vol. 57, No. 9. (30 September 2009), pp. 943-954. by Alexandra Kirsch posted to machine_learning knowledge_processing by fheintz on 2009-11-16 10:36:28 as
	Pure: a pubmed article recommendation system based on content-based filtering. [My Copy] Genome informatics. International Conference on Genome Informatics, Vol. 18 (2007), pp. 267-276. by T. Yoneya, H. Mamitsuka posted to words_filtering recommendation pubmed machine_learning in_google citeulike by IgorP on 2009-11-13 14:25:32 as along with 2 people msampson Gaetan
	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 inference hierarchical_models computational_statistics bayesian_inference by flieder on 2009-11-11 16:11:26 as along with 70 people and 11 groups ianhales asterix77 Gorzomagnificent ctacmo reconnie claurier tkollar rily matjes erhanbas mthomure 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
	Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning) [My Copy] (01 August 2001) by Pierre Baldi, Sã¸ren Brunak posted to books machine_learning bioinformatic_books by nlapalu on 2009-11-11 11:38:55 as along with 2 people npt11tpn ujh
	Feature Weighting in k-Means Clustering [My Copy] In Machine Learning, Vol. 52 (2002) by Dharmendra Modha, Scott Spangler posted to machine_learning clustering by karthikraman on 2009-11-10 15:03:57 as
	Editorial: Special Issue on Learning from Imbalanced Data Sets [My Copy] SIGKDD Explorations, Vol. 6 (2004) by Nitesh V. Chawla, Nathalie Japkowicz posted to machine_learning by qluo on 2009-11-09 08:48:42 as
	Practical lessons of data mining at Yahoo! [My Copy] In CIKM '09: Proceeding of the 18th ACM conference on Information and knowledge management (2009), pp. 1047-1056. by Ye Chen, Dmitry Pavlov, Pavel Berkhin, Aparna Seetharaman, Albert Meltzer posted to machine_learning data_mining by borkurdotnet on 2009-11-07 15:00:24 as along with 1 person vitalaswp4
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to statistics regression machine_learning classification by donnachie on 2009-11-06 14:56:40 as along with 59 people and 11 groups azhdari emailhy 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 alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Online learning by ellipsoid method [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 1153-1160. by Liu Yang, Rong Jin, Jieping Ye posted to machine_learning by holopoj on 2009-11-04 19:06:04 as
	<I>In silico</I> prediction and screening of gamma-secretase inhibitors by molecular descriptors and machine learning methods [My Copy] Journal of Computational Chemistry, Vol. 9999, No. 9999. (2009), NA. by Xue-Gang Yang, Wei Lv, Yu-Zong Chen, Ying Xue posted to svm nov09 molecular_descriptors machine_learning jcc inhibitor gamma-secretase by klexa on 2009-11-04 15:37:14 as along with 1 person iskathy
	Random Forests [My Copy] In Machine Learning, Vol. 45 (2001), pp. 5-32. by Leo B. Statistics, Leo Breiman posted to supervised randomized machine_learning decision_tree_induction by h-chi on 2009-11-04 15:23:25 as
	Extremely Randomized Trees [My Copy] In Machine Learning, Vol. 36 (2003) by Pierre G. June posted to supervised randomized machine_learning decision_tree_induction by h-chi on 2009-11-04 15:19:57 as
	Accurate molecular classification of cancer using simple rules [My Copy] BMC Medical Genomics, Vol. 2, No. 1. (2009), 64. by Xiaosheng Wang, Osamu Gotoh posted to machine_learning disease_drug by phoenixzxl on 2009-11-04 01:33:11 as along with 1 person ptrobajo
	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (1 October 2001), pp. 5-32. by Leo Breiman posted to machine_learning classifiers by srp33 on 2009-11-03 22:24:16 as along with 21 people and 1 group sona felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates abrentnall kaarsinogen sdvillal maheshj lp2 poluxmoon jdu AbnerCYH carlk yaroslavvb Random Subspace Method
	Clinical machine learning [My Copy] Journal of Biomedical Informatics, Vol. 38, No. 5. (October 2005), pp. 345-346. by L. Ohnomachado posted to machine_learning clinical_data by installe on 2009-10-28 10:00:19 as
	Comparing Artificial Neural Networks, General Linear Models and Support Vector Machines in Building Predictive Models for Small Interfering RNAs [My Copy] PLoS ONE, Vol. 4, No. 10. (22 October 2009), e7522. by Kyle A. McQuisten, Andrew S. Peek posted to support_vector_machines predictive_performance machine_learning comparative_studies by installe on 2009-10-26 09:53:34 as
	Can Survival Prediction Be Improved By Merging Gene Expression Data Sets? [My Copy] PLoS ONE, Vol. 4, No. 10. (23 October 2009), e7431. by Haleh Yasrebi, Peter Sperisen, Viviane Praz, Philipp Bucher posted to machine_learning gene_expression_data data_merging data_integration by installe on 2009-10-26 09:42:02 as along with 1 person frohike
	Machine Learning [My Copy] (01 March 1997) by Tom M. Mitchell posted to survey machine_learning book by gavin1332 on 2009-10-26 05:26:49 as along with 40 people and 4 groups gagliol 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
	All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) [My Copy] (17 September 2004) by Larry Wasserman posted to survey statistics machine_learning estimation book by gavin1332 on 2009-10-26 05:15:24 as along with 9 people and 2 groups fjanoos ilyashl brian pdlug yaroslavvb apaydin ctacmo singhsh Pragmatist Statistics_and_Social_Science Biostatistics
	Pattern Classification (2nd Edition) [My Copy] (21 November 2000) by Richard O. Duda, Peter E. Hart, David G. Stork posted to statistics pattern_recognition machine_learning book by gavin1332 on 2009-10-26 04:57:58 as along with 51 people and 11 groups emailhy jrodriguez 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 abellogin singhsh haiyeong napvasconcelos ecome matjes yaroslavvb tgyork middell LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted to statistics pattern_recognition machine_learning information_science book by gavin1332 on 2009-10-26 04:56:22 as along with 53 people and 6 groups pjmaybank emailhy pingmei bklynbam 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 Tracking Methods EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
	Gene functional classification from heterogeneous data [My Copy] In RECOMB '01: Proceedings of the fifth annual international conference on Computational biology (2001), pp. 249-255. by Paul Pavlidis, Jason Weston, Jinsong Cai, William N. Grundy posted to support_vector_machine machine_learning integration_framework heterogeneous_data data_mining data_integration combining_diverse_data by installe on 2009-10-12 09:48:52 as
	Geometrical insights into the dendritic cell algorithm [My Copy] In GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009), pp. 1275-1282. by Thomas Stibor, Robert Oates, Graham Kendall, Jonathan M. Garibaldi posted to machine_learning dca danger_theory by thefillm on 2009-10-12 02:33:43 as
	Least squares quantization in PCM [My Copy] Information Theory, IEEE Transactions on In Information Theory, IEEE Transactions on, Vol. 28, No. 2. (06 January 2003), pp. 129-137. by S. Lloyd posted to machine_learning kmeans clustering by thefillm on 2009-10-12 00:07:47 as along with 6 people emailhy jirak tvdbulck chiarafulgenzi ajay81 marrtin
	Advances in Large-Margin Classifiers [My Copy] (02 October 2000) edited by Peter J. Bartlett, Bernhard Schölkopf, Dale Schuurmans, Alex J. Smola posted to machine_learning classification by thefillm on 2009-10-11 20:14:19 as along with 1 person stharward
	A training algorithm for optimal margin classifiers [My Copy] In COLT '92: Proceedings of the fifth annual workshop on Computational learning theory (1992), pp. 144-152. by Bernhard E. Boser, Isabelle M. Guyon, Vladimir N. Vapnik posted to machine_learning classification by thefillm on 2009-10-11 20:01:05 as along with 14 people and 1 group barmak7282 kira awg2 moonykily fiacobelli sohanz srp33 grzegorz chad_davis zoop xiaoyan2006 baldigroup iggykay schulz VT_DLRL
	Boosting a weak learning algorithm by majority [My Copy] In COLT '90: Proceedings of the third annual workshop on Computational learning theory (1990), pp. 202-216. by Yoav Freund posted to statistics machine_learning learning classification by thefillm on 2009-10-10 23:46:14 as along with 1 person awg2
	Estimating the Dimension of a Model [My Copy] The Annals of Statistics, Vol. 6, No. 2. (1978), pp. 461-464. by Gideon Schwarz posted to statistics machine_learning em by thefillm on 2009-10-10 03:47:08 as along with 16 people and 2 groups bennett_tg fabiobayer mweidner flips fordela ppeeling brian yaroslavvb gangli olivierbousquet davidr abhishekseth slygent ciga tvdbulck matjes tulip Computational_Information_Geometry
	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 to spectral machine_learning clustering by thefillm on 2009-10-10 03:35:31 as along with 15 people and 1 group emailhy Shibby shrikondra thsant mthomure viditjain ulasziyan lanmuzi rv101 swachsmu zeppe ooi johnkork iansimon egozi video_retrieval
	On spectral clustering: Analysis and an algorithm [My Copy] In Advances in Neural Information Processing Systems 14, Vol. 14 (2001), pp. 849-856. by Andrew Y. Ng, Michael I. Jordan, Yair Weiss posted to spectral machine_learning clustering by thefillm on 2009-10-10 03:31:23 as along with 2 people Shibby zzb3886
	A kernel-based integration of genome-wide data for clinical decision support. [My Copy] Genome medicine, Vol. 1, No. 4. (3 April 2009) by Anneleen Daemen, Olivier Gevaert, Fabian Ojeda, et al.Annelies Debucquoy, Johan Ak A. Suykens, Christine Sempoux, Jean-Pascal P. Machiels, Karin Haustermans, Bart De Moor posted to svm machine_learning integration_framework by installe on 2009-10-09 15:07:04 as along with 4 people nicklynch daed frohike inesdesantiago
	Refining Initial Points for K-Means Clustering [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 91-99. by Paul S. Bradley, Usama M. Fayyad posted to machine_learning kmeans clustering by thefillm on 2009-10-09 14:02:04 as along with 3 people imrchen votis pbk
	The global k-means clustering algorithm [My Copy] Pattern Recognition, Vol. 36, No. 2. (February 2003), pp. 451-461. by Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek posted to machine_learning kmeans clustering by thefillm on 2009-10-09 13:57:39 as along with 1 person jrodriguez
	An empirical comparison of four initialization methods for the K-Means algorithm [My Copy] Pattern Recognition Letters, Vol. 20, No. 10. (October 1999), pp. 1027-1040. by J. M. Peña, J. A. Lozano, P. Larrañaga posted to machine_learning kmeans clustering by thefillm on 2009-10-09 13:56:35 as
	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 probabilistic_risk_analysis probabilistic_machine monte_carlo_simulation monte_carlo_method markov_chain_monte_carlo machine_learning it_innov by arturo_servin on 2009-10-09 12:28:09 as along with 1 person Borelli
	Automatic learning and generation of social behavior from collective human gameplay [My Copy] In AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems (2009), pp. 385-392. by Jeff Orkin, Deb Roy posted to machine_learning artificial_intelligence by anovstrup on 2009-10-08 23:00:55 as
	Learning from One Example through Shared Densities on Transforms [My Copy] Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, Vol. 1 (2000), 1464. by Erik G. Miller, Nicholas E. Matsakis, Paul A. Viola posted to registration machine_learning learning face alignment by handee on 2009-10-07 09:40:09 as
	Applications of machine learning in cancer prediction and prognosis. [My Copy] Cancer informatics, Vol. 2 (2007), pp. 59-77. by Joseph A. Cruz, David S. Wishart posted to prognosis machine_learning by srp33 on 2009-10-06 22:33:04 as
	Tree induction vs. logistic regression: a learning-curve analysis [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 211-255. by Claudia Perlich, Foster Provost, Jeffrey S. Simonoff posted to machine_learning learning_curve by installe on 2009-10-06 15:07:28 as
	Gradient-based learning applied to document recognition [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 86, No. 11. (06 August 2002), pp. 2278-2324. by Y. Lecun, L. Bottou, Y. Bengio, P. Haffner posted to machine_learning dataset classification by thefillm on 2009-10-05 00:34:26 as
	MetaCost: A General Method for Making Classifiers Cost-Sensitive [My Copy] In In Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining (1999), pp. 155-164. by Pedro Domingos posted to machine_learning evaluation_measure by installe on 2009-10-02 12:40:30 as
	Machine learning: Discriminative and generative [My Copy] The Mathematical Intelligencer, Vol. 28, No. 1. (1 March 2006), pp. 67-69. by Tony Jebara, Marina Meila posted to review machine_learning by lfriedl on 2009-10-01 22:58:35 as
	Performance of Humans vs. Exploration Algorithms on the Tower of London Test [My Copy] PLoS ONE, Vol. 4, No. 9. (29 September 2009), e7263. by Eric Fimbel, Stéphane Lauzon, Constant Rainville posted to machine_learning by scmelton on 2009-10-01 03:21:01 as along with 1 person and 1 group sherdim EPLab
	Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) [My Copy] (13 January 2006) by Jiawei Han, Micheline Kamber, Jian Pei posted to machine_learning data_mining by thefillm on 2009-09-30 20:40:50 as along with 13 people and 1 group anib jindra igorbandeira Fantozzi longtop emrebaba ilyashl seninp imrchen fmatthes bigbossman cgarboni eabait ADMiRes
	Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68) [My Copy] (2005) by Kevin L. Priddy, Paul E. Keller posted to neural_nets machine_learning by thefillm on 2009-09-30 20:36:12 as
	COMPUTER SCIENCE: Automating Science [My Copy] Science, Vol. 324, No. 5923. (3 April 2009), pp. 43-44. by David Waltz, Bruce G. Buchanan posted to machine_learning by cjryan on 2009-09-30 17:51:07 as along with 8 people and 2 groups asterix77 tomatoman acrmartins tnhh leonardo rdiaz sobolevnrm pkonings Oxford Hooker Group baker-group

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decision_tree	16
graphical_models	16
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learning	15
bayesian_networks	14
information_theory	14
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em	11
support_vector_machines	11
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weka	10
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algorithm	8
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feature_extraction	8
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microarray	8
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arff	7
attack_classification	7
attack_database	7
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buffer_overflow	7
c_4-5_algorithm	7
classification_rate	7
computer_security	7
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decision_making	7
denial_of_service	7
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dos	7
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host_security	7
hybrid_intrusion_detection	7
ids	7
information_security	7
internet_attack	7
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intrusion_detection_system	7
kddcup_99	7
kernel_methods	7
machine_learning_algorithm	7
machine_learning_tool	7
maximum_margin	7
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network_security	7
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online_learning	7
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22	6
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gene_expression	5
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