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Feature learning
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#	Item
451	LETTER Communicated by James Theiler Feature Selection via Coalitional Game Theory Shay Cohen Add to Reading List Source URL: www2.mta.ac.il Language: English - Date: 2010-06-22 06:48:22 Fair division Shapley value Statistical classification Feature selection Cooperative game Random forest Support vector machine Gain Stepwise regression Statistics Machine learning Game theory
452	SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification Michael Gutkin1, Ron Shamir1, Gideon Dror2 1 Blavatnik school of Computer Science, Tel Aviv University, Tel Aviv, Israel, 2 School Add to Reading List Source URL: www2.mta.ac.il Language: English* - Date: 2010-08-18 18:53:13 Support vector machine Naive Bayes classifier Classifier Binary classification Supervised learning Feature selection Linear discriminant analysis Cross-validation Random subspace method Statistics Machine learning Statistical classification
453	Data Centering in Feature Space Marina Meil˘a Department of Statistics University of Washington Seattle, WA[removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2003-01-02 17:37:31 Linear algebra Support vector machine Kernel methods Kernel trick String kernel Linear classifier Kernel Least squares support vector machine Statistics Machine learning Statistical classification
454	FRANCE-MEDIA-INTERNET-FEATURE Add to Reading List Source URL: www.cjcp.org.za Language: English - Date: 2014-06-11 10:10:38 Virtual reality Technology Internet privacy Social networking service Virtual world E-learning Video game Online identity Adolescence Human development Education
455	Modeling Methodology 2: Model Input Selection by Will Dwinnell Introduction In this installment of the modeling methodology series, we explore model input selection. This is the process of choosing the input variables th Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:10 Computational neuroscience Regression analysis Computational statistics Machine learning Sensitivity analysis Stepwise regression Feature selection Artificial neural network Group method of data handling Statistics Neural networks Econometrics
456	s10044[removed]5ca-web[removed] Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:48:42 Statistical classification Microarrays Gene expression Support vector machine DNA microarray Kernel methods Principal component analysis Dimension reduction Feature selection Statistics Machine learning Multivariate statistics
457	Component-based discriminative classification for hidden Markov models Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:45 Markov models Linear classifier Hidden Markov model Perceptron Pattern recognition Feature scaling Support vector machine Speech recognition Fisher kernel Statistics Machine learning Statistical classification
458	Experiments with Sentence Classification Anthony Khoo, Yuval Marom and David Albrecht Faculty of Information Technology, Monash University Clayton, VICTORIA 3800, AUSTRALIA nthony [removed], {yuvalm,dwa}@csse.monash. Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2006-11-21 07:43:14 Science Computational linguistics Machine learning Data mining Natural language processing Support vector machine Naive Bayes classifier Speech recognition Feature selection Statistics Linguistics Statistical classification
459	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Short Papers DECEMBER 2008 Add to Reading List Source URL: www.lv-nus.org Language: English - Date: 2009-08-08 01:49:30 Machine learning Computational statistics Statistical classification Kernel methods Linear discriminant analysis Nonlinear dimensionality reduction Semidefinite embedding Feature extraction Principal component analysis Statistics Multivariate statistics Dimension reduction
460	Greedy Algorithms for Sparse Reinforcement Learning Christopher Painter-Wakefield Ronald Parr Duke University, Durham NC Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2012-05-22 14:27:13 Regression analysis Learning Reinforcement learning Sparse approximation Supervised learning Feature selection Least squares Least-angle regression Static single assignment form Statistics Matching pursuit Signal processing

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