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Feature selection
Results: 571

#	Item
461	Non-Monotonic Feature Selection Zenglin Xu ZLXU @ CSE . CUHK . EDU . HK Department of Computer Science & Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong Rong Jin RONGJIN @ CSE . MSU . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:45 Support vector machine Feature selection Algorithm Kernel methods Symbol Supervised learning Greedy algorithm Least-angle regression Statistics Machine learning Statistical classification
462	Efficient Sparse Modeling with Automatic Feature Grouping Leon Wenliang Zhong [removed] James T. Kwok [removed] Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Regression analysis Mathematical optimization Elastic net regularization Quadratic programming Feature selection Machine learning Factorial Lasso Stability Mathematics Learning Statistics
463	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning
464	Perspective Practise Algorithms Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 Data analysis Cybernetics Association rule learning Cluster analysis Algorithm Feature selection Supervised learning Statistics Data mining Machine learning
465	Direct Convex Relaxations of Sparse SVM Antoni B. Chan [removed] Nuno Vasconcelos [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:14 Mathematical optimization Statistical classification Operations research Model selection Support vector machines Kernel methods Semidefinite programming Quadratically constrained quadratic program Feature selection Statistics Machine learning Mathematics
466	Minimum Reference Set Based Feature Selection for Small Sample Classifications Xue-wen Chen [removed] Jong Cheol Jeong Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:27 Statistical classification Support vector machine K-nearest neighbor algorithm VC dimension Feature selection Structural risk minimization Training set Least squares support vector machine Supervised learning Statistics Machine learning Artificial intelligence
467	Causal filter selection in microarray data Gianluca Bontempi Patrick E. Meyer Machine Learning Group, Computer Science Department, Faculty of Sciences Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:57 Science Mutual information Feature selection Causality Interaction information Correlation and dependence Fold Conditional mutual information Causal filter Information theory Statistics Information
468	Feature Selection in a Kernel Space Bin Cao Peking University, Beijing, China [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:11 Linear algebra Statistical classification Multivariate statistics Abstract algebra Signal processing Support vector machine Kernel methods Kernel principal component analysis Kernel Fisher discriminant analysis Statistics Algebra Mathematics
469	Feature Subset Selection for Learning Preferences: A Case Study Antonio Bahamonde [removed] Gustavo F. Bay´ on Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:39 Statistical classification Model selection Support vector machine Learning Linear algebra Cross-validation Feature selection Kernel methods Vector space Statistics Algebra Machine learning
470	Feature selection, L1 vs. L2 regularization, and rotational invariance Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:54 Econometrics M-estimators Regression analysis Maximum likelihood Supervised learning Rotation matrix Regularization Linear regression Dimensional analysis Statistics Estimation theory Machine learning

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