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Feature selection
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#	Item
271	AIJ special issue on relevance Wrappers for Feature Subset Selection Ron Kohavi Data Mining and Visualization Silicon Graphics, Inc. Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2010-10-25 23:04:29 Knowledge Dimension reduction Feature selection Model selection Supervised learning Pattern recognition Algorithm NP Relevance Machine learning Science Statistics
272	SOR: Scalable Orthogonal Regression for Non-Redundant Feature Selection and its Healthcare Applications Dijun Luo∗ Fei Wang† Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2012-12-19 14:57:50 Dimension reduction Feature selection Model selection
273	LNCS[removed]Feature Selection Using Counting Grids: Application to Microarray Data Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2013-03-19 09:37:42 Gene expression Chemistry Bioinformatics Molecular biology DNA DNA microarray Feature selection Biology Microarrays Biochemistry
274	An automatic leading indicator, variable reduction and variable selection methods using small and large datasets: Forecasting the industrial production growth for euro area economies Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2015-04-01 03:43:25 Mathematical optimization Estimation theory Econometrics Feature selection Search algorithm Akaike information criterion Least squares Genetic algorithm Algorithm Statistics Regression analysis Model selection
275	Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:44 Boltzmann machine Supervised learning Feature selection Pattern recognition Generative model Neural network Unsupervised learning Support vector machine Linear classifier Statistics Machine learning Artificial intelligence
276	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
277	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
278	Adverse Selection and the Required Return Nicolae Gaˆrleanu University of Pennsylvania Lasse Heje Pedersen New York University An important feature of financial markets is that securities are traded repeatedly by Add to Reading List Source URL: docs.lhpedersen.com Language: English - Date: 2004-07-07 06:50:31 Finance Stock market Financial risk Bid–offer spread Market maker Order Futures contract Market liquidity Dark liquidity Financial markets Financial economics Investment
279	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
280	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

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