Tag machine_learning [at least 200 articles] Export

Recent papers classified by the tag machine_learning.

	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 57 people and 10 groups 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 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 20 people felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates abrentnall kaarsinogen sdvillal maheshj lp2 poluxmoon jdu AbnerCYH carlk yaroslavvb
	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 50 people and 10 groups 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 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 50 people and 5 groups 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 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 13 people and 1 group 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 3 people Shibby Lestropie 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
	Distilling Free-Form Natural Laws from Experimental Data [My Copy] Science, Vol. 324, No. 5923. (3 April 2009), pp. 81-85. by Michael Schmidt, Hod Lipson posted to machine_learning by cjryan on 2009-09-30 17:47:50 as along with 36 people vgauthier marcio tomhebbron CulCog Shirakawa doncieux ocs mbaluda tomweingarten leliavski dpf davidcsterratt ansobol Scis0000002 dimatura phoenixzxl dullhunk muraken katiehumphry sebwills xtizon tyrell_turing subhacom sen_cheng coela uhland qwermish VGreiff Benja stober behindtherabbit Fortran deanmalmgren fgibson neils jbhiatt
	Learning classifiers from only positive and unlabeled data [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 213-220. by Charles Elkan, Keith Noto posted to machine_learning classification by bross on 2009-09-25 16:33:52 as along with 7 people badi cdepablo kgajos donghai hongliangjie Mohan-S sdvillal
	Clustering aggregation [My Copy] ACM Trans. Knowl. Discov. Data, Vol. 1, No. 1. (March 2007), 4. by Aristides Gionis, Heikki Mannila, Panayiotis Tsaparas posted to machine_learning ensembles clustering by thefillm on 2009-09-24 15:32:45 as along with 5 people and 1 group Lestropie eddymier rst azygmunt ajay81 AGH-IISG
	Clustering ensembles: models of consensus and weak partitions [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 12. (31 October 2005), pp. 1866-1881. by A. Topchy, A. K. Jain, W. Punch posted to machine_learning ensembles clustering by thefillm on 2009-09-24 15:31:10 as along with 1 person sterovetta
	Cluster ensembles --- a knowledge reuse framework for combining multiple partitions [My Copy] Journal of Machine Learning Research, Vol. 3 (2002), pp. 583-617. by Alexander Strehl, Joydeep Ghosh posted to machine_learning clustering by thefillm on 2009-09-24 15:27:51 as along with 3 people and 1 group zzb3886 zhangzhenjie dimatura iDataOLD
	An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++ [My Copy] PLoS ONE, Vol. 4, No. 9. (18 September 2009), e7087. by Yuliya V. Karpievitch, Elizabeth G. Hill, Anthony P. Leclerc, Alan R. Dabney, Jonas S. Almeida posted to machine_learning by scmelton on 2009-09-21 23:04:34 as along with 1 person rdiaz
	Machine learning classifiers and fMRI: a tutorial overview. [My Copy] NeuroImage, Vol. 45, No. 1 Suppl. (21 March 2009) by F. Pereira, T. Mitchell, M. Botvinick posted to neuroinformatics neuroimaging machine_learning fmri computational_neuroscience by flieder on 2009-09-14 20:37:04 as along with 6 people and 1 group jjrodriguez marrtin davclark brockkirwan librain bhamcnil Skills, Automaticity and Imaging Methods
	Privacy-preserving Bayesian network structure computation on distributed heterogeneous data [My Copy] In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004), pp. 713-718. by Rebecca Wright, Zhiqiang Yang posted to privacy machine_learning data_mining_algorithms bayesian_networks by installe on 2009-09-14 13:43:48 as
	Information Theory, Inference & Learning Algorithms [My Copy] (15 June 2002) by David J. C. MacKay posted to machine_learning by serebryakov on 2009-09-11 15:28:07 as along with 60 people and 5 groups flips Sergey_gerbek vgauthier foekenev gkatsi pjmaybank 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 brianmc lop matjes delip markusd ekatsyrk luispedro robotact Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems
	Regression Applied to Protein Binding Site Prediction and Comparison with Classification [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (03 September 2009), 276. by Joachim Giard, Jerome Ambroise, Jean L. Gala, Benoit Macq posted to prediction_interface machine_learning by phoenixzxl on 2009-09-07 03:11:26 as along with 1 person jinghu_fandm
	Incorporating machine-learning into music similarity estimation [My Copy] In AMCMM '06: Proceedings of the 1st ACM workshop on Audio and music computing multimedia (2006), pp. 89-96. by Kris West, Stephen Cox, Paul Lamere posted to sound_similarity music_similarity machine_learning by yeeking on 2009-09-06 17:01:34 as

Note: You may cite this page as: http://www.citeulike.org/tag/machine_learning

Result page: 1 2 3 4 5 6 7 8 9 10 Next

clustering	63
classification	46
svm	37
statistics	35
data_mining	25
pattern_recognition	25
review	25
ai	23
feature_selection	22
bayesian	17
book	16
decision_tree	16
graphical_models	16
nlp	16
learning	15
bayesian_networks	14
information_theory	14
active_learning	13
neural_network	13
structure_learning	13
learning_theory	12
prediction	12
bayesian_network	11
em	11
support_vector_machines	11
mdl	10
overview	10
weka	10
protein	9
qsar	9
algorithm	8
artificial_intelligence	8
feature_extraction	8
intrusion_detection	8
microarray	8
self_organizing_map	8
survey	8
anomaly_detection	7
arff	7
attack_classification	7
attack_database	7
boosting	7
buffer_overflow	7
c_4-5_algorithm	7
classification_rate	7
computer_security	7
darpa	7
decision_making	7
denial_of_service	7
detection_rate	7
dos	7
host-based_hybrid_intrusion_detection	7
host-based_intrusion_detection	7
host_security	7
hybrid_intrusion_detection	7
ids	7
information_extraction	7
information_security	7
internet_attack	7
internet_security	7
intrusion_detection_system	7
kddcup_99	7
kernel_methods	7
machine_learning_algorithm	7
machine_learning_tool	7
maximum_margin	7
misuse_detection	7
network_security	7
neural_networks	7
online_learning	7
rule_extraction	7
rule_mining	7
systems_biology	7
textbooks	7
tjph	7
22	6
algorithms	6
computational_linguistics	6
evaluation	6
extraction	6
ml	6
motifs	6
named_entity	6
protein_solubility	6
protein_structure	6
robotics	6
semi_supervised_learning	6
seminal	6
sequence	6
tutorial	6
visualization	6
disease_drug	5
gene_expression	5
genetic_network	5
hypothesis_testing	5
incremental_networks	5
language_acquisition	5
som	5
structure	5
text_classification	5

Tag machine_learning [at least 200 articles] Export

Related Tags