Tag machinelearning [at least 200 articles] Export

Recent papers classified by the tag machinelearning.

	Multi-agent learning and the descriptive value of simple models [My Copy] Artificial Intelligence, Vol. 171, No. 7. (May 2007), pp. 423-428. by I. Erev, A. Roth posted to multiagentsystems multiagentlearning machinelearning by lcigler on 2009-10-21 09:45:45 as
	Iterative signature algorithm for the analysis of large-scale gene expression data [My Copy] Physical Review E, Vol. 67, No. 3. (11 Mar 2003), 031902. by Sven Bergmann, Jan Ihmels, Naama Barkai posted to machinelearning by TRHvidsten on 2009-10-15 08:55:56 as along with 2 people and 1 group mingzhi tvdbulck Bioinformatics
	The Boosting Approach to Machine Learning: An Overview [My Copy] (2002) by Robert E. Schapire posted to machinelearning boosting by fercosber on 2009-09-30 17:20:01 as along with 3 people cyberwulf mzabidi hr0nix
	Laplacian Support Vector Machines Trained in the Primal [My Copy] (29 Sep 2009) by Stefano Melacci, Mikhail Belkin posted to machinelearning by jleny on 2009-09-30 13:24:13 as
	Highly Variable Spread Rates in Replicated Biological Invasions: Fundamental Limits to Predictability [My Copy] Science, Vol. 325, No. 5947. (18 September 2009), pp. 1536-1539. by Brett A. Melbourne, Alan Hastings posted to machinelearning by TRHvidsten on 2009-09-18 10:31:56 as along with 2 people drmarkandersen dinnes
	Mortality assessment in intensive care units via adverse events using artificial neural networks. [My Copy] Artificial intelligence in medicine, Vol. 36, No. 3. (March 2006), pp. 223-234. by Alvaro Silva, Paulo Cortez, Manuel Filipe F. Santos, Lopes Gomes, José Neves posted to machinelearning by wilvc on 2009-08-28 21:45:41 as
	Norepinephrine weaning in septic shock patients by closed loop control based on fuzzy logic. [My Copy] Critical care (London, England), Vol. 12, No. 6. (09 December 2008), R155. by Mehdi Merouani, Bruno Guignard, François Vincent, et al.Stephen W. Borron, Philippe Karoubi, Jean-Philippe P. Fosse, Yves Cohen, Christophe Clec'h, Eric Vicaut, Carole Marbeuf-Gueye, Frederic Lapostolle, Frederic Adnet posted to shock sepsis machinelearning icu by wilvc on 2009-08-28 17:45:20 as
	Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. [My Copy] Lancet, Vol. 362, No. 9392. (18 October 2003), pp. 1261-1266. by Ananya Das, Tamir Ben-Menachem, Gregory S. Cooper, et al.Amitabh Chak, Michael V. Sivak, Judith A. Gonet, Richard C. Wong posted to machinelearning gi by wilvc on 2009-08-28 17:41:12 as
	A review of evidence of health benefit from artificial neural networks in medical intervention. [My Copy] Neural networks : the official journal of the International Neural Network Society, Vol. 15, No. 1. (January 2002), pp. 11-39. by P. J. Lisboa posted to machinelearning by wilvc on 2009-08-28 17:28:24 as
	Effective Gaussian Mixture Learning for Video Background Subtraction [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 5. (2005), pp. 827-832. by Dar S. Lee posted to videoprocessing onlinealgorithms machinelearning gaussianmixture by lcigler on 2009-08-27 09:42:32 as along with 2 people rily tyler
	Adaptive background mixture models for real-time tracking [My Copy] Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., Vol. 2 (1999) by C. Stauffer, W. E. L. Grimson posted to tracking machinelearning gaussianmixture by lcigler on 2009-08-25 12:24:33 as along with 10 people bedieber javimol emailhy gkvas arseny egozi jrodriguez alucchi thsant davidmihalcik
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted to patterns machinelearning comprehensive by mircea on 2009-08-19 15:10:49 as along with 50 people and 5 groups bklynbam gavin1332 ecome psychorav 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
	On-Line Algorithms in Machine Learning [My Copy] Online Algorithms (1998), pp. 306-325. by Avrim Blum posted to onlinealgorithms machinelearning by lcigler on 2009-08-19 13:29:27 as
	Autonomous learning for efficient resource utilization of dynamic VM migration [My Copy] In ICS '08: Proceedings of the 22nd annual international conference on Supercomputing (2008), pp. 185-194. by Hyung W. Choi, Hukeun Kwak, Andrew Sohn, Kyusik Chung posted to virtualization scheduling ressource-allocation metavisor machinelearning by mrt2k9 on 2009-08-03 12:02:56 as along with 1 person twood
	Reinforcement Learning or Active Inference? [My Copy] PLoS ONE, Vol. 4, No. 7. (29 July 2009), e6421. by Karl J. Friston, Jean Daunizeau, Stefan J. Kiebel posted to machinelearning by TRHvidsten on 2009-07-30 14:06:31 as along with 2 people josepaquino PaperCollector
	Predictor correlation impacts machine learning algorithms: implications for genomic studies [My Copy] Bioinformatics, Vol. 25, No. 15. (1 August 2009), pp. 1884-1890. by Kristin K. Nicodemus, James D. Malley posted to machinelearning by TRHvidsten on 2009-07-20 10:18:45 as along with 4 people and 1 group rdiaz ollieredfernwork djkt mhamada Orengo Group Journal Picks
	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 gmm machinelearning by claurier on 2009-07-13 14:43:07 as along with 69 people and 11 groups ianhales asterix77 Gorzomagnificent ctacmo reconnie 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
	Model criticism based on likelihood-free inference, with an application to protein network evolution. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 106, No. 26. (30 June 2009), pp. 10576-10581. by Oliver Ratmann, Christophe Andrieu, Carsten Wiuf, Sylvia Richardson posted to machinelearning by TRHvidsten on 2009-07-01 07:25:33 as along with 2 people guhjy saket
	Knowledge-based analysis of microarray gene expression data by using support vector machines [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 97, No. 1. (4 January 2000), pp. 262-267. by Michael P. S. Brown, William N. Grundy, David Lin, et al.Nello Cristianini, Charles W. Sugnet, Terrence S. Furey, Manuel Ares, David Haussler posted to bioinformatics machinelearning microarray svm ucsc by akshayk on 2009-06-18 09:45:12 as along with 6 people and 4 groups seb1 nickolay petrposik neveaire dps srp33 Biostatistics Computational-Genomics Bioinformatics Neuroscience
	penalizedSVM: a R-package for feature selection SVM classification [My Copy] Bioinformatics, Vol. 25, No. 13. (1 July 2009), pp. 1711-1712. by Natalia Becker, Wiebke Werft, Grischa Toedt, Peter Lichter, Axel Benner posted to machinelearning by TRHvidsten on 2009-06-18 08:30:54 as along with 10 people and 2 groups sotacam ollieredfernwork rdiaz anf lwaldron dswan neils operon phoenixzxl giovanni Orengo Group Journal Picks Bioinformatics
	An introduction to MCMC for machine learning [My Copy] (2003) by C. Andrieu, N. de Freitas, A. Doucet, M. Jordan posted to ai artificial-intelligence machine-learning machinelearning markov markov-chain mcmc monte-carlo probability sampling tutorial by hgfernan on 2009-06-12 02:54:43 as along with 15 people and 1 group awg2 ansobol mshafiei ecome pool007 jvangael sugarexpletive Vezhnick lcigler Xavier vlachmore pkammerer tresch RhysU Hans45 LTN
	Finding Subtle Motifs by Branching from Sample Strings [My Copy] (2003) by Alkes Price, Sriram Ramabhadran, Pavel A. Pevzner posted to algorithms bioinformatics computational genomics machinelearning motif motifdiscoveryproject projects search by kmdaily on 2009-06-04 01:14:18 as
	Impossibility of successful classification when useful features are rare and weak [My Copy] Proceedings of the National Academy of Sciences, Vol. 106, No. 22. (2 June 2009), pp. 8859-8864. by Jiashun Jin posted to machinelearning by TRHvidsten on 2009-06-03 13:32:40 as along with 3 people rdiaz gdb zwang
	Think globally, fit locally: unsupervised learning of low dimensional manifolds [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 119-155. by Lawrence K. Saul, Sam T. Roweis posted to dimensionalityreduction lle machinelearning optimization by nimbot on 2009-06-01 20:44:05 as along with 2 people camargoj stober
	Fewer permutations, more accurate P-values [My Copy] Bioinformatics, Vol. 25, No. 12. (15 June 2009), pp. i161-168. by Theo A. Knijnenburg, Lodewyk F. A. Wessels, Marcel J. T. Reinders, Ilya Shmulevich posted to machinelearning by TRHvidsten on 2009-05-29 07:42:27 as along with 8 people and 1 group rdiaz Ayest farhat AlexBateman bmajoros idonaldson djkt sameersoi Journal picks
	A comparison of system call feature representations for insider threat detection [My Copy] Information Assurance Workshop, 2005. IAW '05. Proceedings from the Sixth Annual IEEE SMC In Information Assurance Workshop, 2005. IAW '05. Proceedings from the Sixth Annual IEEE SMC (15 August 2005), pp. 340-347. by A. Liu, C. Martin, T. Hetherington, S. Matzner posted to insiderthreats machinelearning systemcall by kelanyu on 2009-05-21 00:23:09 as along with 1 person arcticlobo
	Nonlinear Prediction of Quantitative Structure−Activity Relationships [My Copy] Journal of Chemical Information and Computer Sciences, Vol. 44, No. 5. (1 September 2004), pp. 1647-1653. by Peter Tino, Ian T. Nabney, Bruce S. Williams, Jens Losel, Yi Sun posted to machinelearning multivariatemodelling by jxl on 2009-05-18 11:41:14 as
	Prediction of Skin Penetration Using Machine Learning Methods [My Copy] In ICDM '08: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008), pp. 1049-1054. by Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey posted to machinelearning penetration skin by jxl on 2009-05-18 11:30:34 as
	Adaptive diffusion kernel learning from biological networks for protein function prediction [My Copy] BMC Bioinformatics, Vol. 9 (25 March 2008), 162. by Liang Sun, Shuiwang Ji, Jieping Ye posted to diffusionkernels machinelearning by aheilbut on 2009-05-14 18:39:12 as along with 5 people ajbattle dragonrez bootsy barriot ptrobajo
	On validation and invalidation of biological models [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 132. by James Anderson, Antonis Papachristodoulou posted to comparativestudy machinelearning by TRHvidsten on 2009-05-14 07:16:50 as along with 6 people rdiaz jjray dagmar druvus reyez jmeppley
	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 machinelearning by asterix77 on 2009-05-01 23:45:27 as along with 8 people and 2 groups cjryan tomatoman acrmartins tnhh leonardo rdiaz sobolevnrm pkonings Oxford Hooker Group baker-group
	Map-Reduce for Machine Learning on Multicore [My Copy] In NIPS (2006), pp. 281-288. by Cheng T. Chu, Sang K. Kim, Yi A. Lin, et al.Yuanyuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted to machinelearning mapreduce multicore by myui on 2009-04-30 04:14:09 as along with 27 people and 1 group pprett Jingbo jweslley nlong zhaomin nliu82 mpotamias conservatism pwais dmeister klatifch eddymier daniel51 jahwa sdvillal wentrue euclid jjrodriguez nojhan donade agulli zzztimbo bhaddow takeha-e zakk0610 coleslaw amatos large-scale-ml
	Introduction to Machine Learning: Class Notes 67577 [My Copy] (23 Apr 2009) by Amnon Shashua posted to ai lecture machinelearning by belion on 2009-04-28 13:26:25 as along with 8 people and 1 group mthomure dpf mdreid christiand ansobol Thermaneutist pdlug ima Statistical Machine Learning
	The Nonstochastic Multiarmed Bandit Problem [My Copy] SIAM Journal on Computing, Vol. 32, No. 1. (2002), pp. 48-77. by Peter Auer, Nicolò C. Bianchi, Yoav Freund, Robert E. Schapire posted to decisionmaking machinelearning multiarmedbandit by lcigler on 2009-04-28 08:38:45 as
	A desicion-theoretic generalization of on-line learning and an application to boosting [My Copy] Computational Learning Theory (1995), pp. 23-37. by Yoav Freund, Robert Schapire posted to boosting decisiontheory learning machinelearning onlinealgorithms by lcigler on 2009-04-28 08:34:33 as along with 2 people mzabidi kliger
	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 to machinelearning by TRHvidsten on 2009-04-25 13:48:57 as along with 7 people and 1 group NicolaSegata klouie yaroslavvb kentsis davidr sdvillal kaineci Glimcher_Lab
	A Primer on Regression Methods for Decoding cis-Regulatory Logic [My Copy] PLoS Comput Biol, Vol. 5, No. 1. (30 January 2009), e1000269. by Debopriya Das, Matteo Pellegrini, Joe W. Gray posted to generegulation machinelearning by TRHvidsten on 2009-04-25 13:42:18 as along with 12 people Zephyrus orzenil daforerog jfr rdiaz natstreet druvus Borelli rdowell dolchan xinhe2 WanderingAengus
	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 to machinelearning by TRHvidsten on 2009-04-25 12:57:49 as along with 30 people and 3 groups briordan lmaurits anon_pl mthomure ckai1 prydzews qwermish thiagomanel linhares vlachmore stober nojhan stringertheory thefillm amatos markstoehr uhhhhhhhhhhm A_Olympia tmmurali jmchauvet shigepong rsantana tbloomf kevinemamy markusd jborn deubel guhjy Zephyrus jago Optimization logics of knowledge Roswell Cancer Crosstalk
	Cross-validation and bootstrapping are unreliable in small sample classification [My Copy] Pattern Recognition Letters, Vol. 29, No. 14. (15 October 2008), pp. 1960-1965. by A. Isaksson, M. Wallman, H. Göransson, M. G. Gustafsson posted to machinelearning by TRHvidsten on 2009-04-25 12:57:19 as along with 8 people Mohan-S jfr gkvas fabgoos lfriedl jjrodriguez beiyu braynor
	Spectral methods in machine learning and new strategies for very large datasets. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 106, No. 2. (13 January 2009), pp. 369-374. by M. A. Belabbas, P. J. Wolfe posted to machinelearning by TRHvidsten on 2009-04-25 12:55:36 as along with 3 people and 1 group rdiaz sobolevnrm mhamada baker-group
	Classification with reject option in gene expression data. [My Copy] Bioinformatics (Oxford, England), Vol. 24, No. 17. (1 September 2008), pp. 1889-1895. by B. Hanczar, E. R. Dougherty posted to machinelearning by TRHvidsten on 2009-04-25 12:54:02 as along with 1 person guhjy
	Large Margin Classification Using the Perceptron Algorithm [My Copy] Mach. Learn., Vol. 37, No. 3. (December 1999), pp. 277-296. by Yoav Freund, Robert E. Schapire posted to graduation machinelearning perceptron weka by tijszwinkels on 2009-04-16 13:26:25 as along with 2 people ling wcohen
	Data Mining: Practical Machine Learning Tools and Techniques [My Copy] (22 June 2005) by Ian H. Witten, Eibe Frank posted to graduation machinelearning weka by tijszwinkels on 2009-04-16 13:10:08 as along with 47 people and 6 groups anib singhsh installe tomjad malibu pinventado alexjfalcao fiacobelli liamtoh333 ihaque sugarexpletive karinaecomp gstiglic haiyeong imrchen baaic RafaUsyd tmancill druvus dullhunk GJNauta sb-3000 sammydre balicea sdvillal caporaso AbnerCYH brunomelo dejang mdifranc BastianSpanneberg velasco azazello ezralanglois pprett gmonce fernandohbc scorreia_pro csacca jdu bobychan napvasconcelos soramame_0518 abellogin quianominorleo eegilbert akastrin mlkd WAND AI biomedical-nlp RiSE CSBBGraphTheory
	Instance-based learning algorithms [My Copy] Machine Learning, Vol. 6, No. 1. (1 January 1991), pp. 37-66. by David W. Aha, Dennis Kibler, Marc K. Albert posted to graduation ibk machinelearning by tijszwinkels on 2009-04-16 13:01:20 as
	Bayes not Bust! Why Simplicity is no Problem for Bayesians [My Copy] Br J Philos Sci, Vol. 58, No. 4. (1 December 2007), pp. 709-754. by David L. Dowe, Steve Gardner, Graham Oppy posted to bayesiantheory machinelearning probability simplicity by lcigler on 2009-04-09 13:05:01 as along with 1 person nurban
	Prediction Versus Accommodation and the Risk of Overfitting [My Copy] Br J Philos Sci, Vol. 55, No. 1. (1 March 2004), pp. 1-34. by Christopher Hitchcock, Elliott Sober posted to machinelearning overfitting prediction by lcigler on 2009-04-09 12:57:25 as
	Key Concepts in Model Selection: Performance and Generalizability [My Copy] Journal of Mathematical Psychology, Vol. 44, No. 1. (March 2000), pp. 205-231. by M. Forster posted to machinelearning modelselection simplicity by lcigler on 2009-04-09 12:52:34 as along with 2 people qwermish bayesian
	Combined 5 x 2 cv F test for comparing supervised classification learning algorithms. [My Copy] Neural computation, Vol. 11, No. 8. (15 November 1999), pp. 1885-1892. by E. Alpaydin posted to classifier comparison machinelearning pt by gabriprat on 2009-03-29 15:49:32 as
	Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms [My Copy] Neural Computation, Vol. 10 (1998), pp. 1895-1923. by Thomas G. Dietterich posted to classifier comparison machinelearning pt by gabriprat on 2009-03-14 08:42:45 as along with 1 person ihaque
	The Power of Convex Relaxation: Near-Optimal Matrix Completion [My Copy] (9 Mar 2009) by Emmanuel J. Candes, Terence Tao posted to compressivesensing linearalgebra machinelearning optimization signalprocessing by jleny on 2009-03-11 12:38:36 as along with 2 people sflammia mdreid

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