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Feature selection
Results: 571

#	Item
301	2-4 C lustering and Feature Selection Methods for Analyzing Spam Based Attacks SONG Jungsuk In recent years, the number of spam emails has been dramatically increasing and spam is Add to Reading List Source URL: www.nict.go.jp Language: English - Date: 2013-11-21 21:04:46 Email Email spam Spam Anti-spam techniques Email authentication Spamming Internet Computing
302	Journal of Machine Learning Research[removed]934 Submitted 9/08; Revised 1/09; Published 4/09 Java-ML: A Machine Learning Library Thomas Abeel Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-04-24 16:54:55 Data analysis Cybernetics Search algorithms Weka Formal sciences K-means clustering Cluster analysis Feature selection K-nearest neighbor algorithm Statistics Machine learning Computational statistics
303	Feature Selection for Real-time Image Matching Systems Quan Wang and Suya You University of Southern California Los Angeles, USA {quanwang, suyay}@usc.edu Abstract Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2008-08-05 15:39:40 Optics Object recognition Feature selection Scale invariance Pattern Computer vision Vision Physics
304	Journal of Machine Learning Research1182 Submitted 11/02; Published 3/03 An Introduction to Variable and Feature Selection Isabelle Guyon Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-10-01 01:54:48 Statistical dependence Probability theory Information theory Feature selection Linear regression Mutual information Correlation and dependence Stepwise regression Causality Statistics Regression analysis Econometrics
305	552 IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 39, Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2013-11-18 22:15:46 Gain Support vector machine Feature selection Software bug Receiver operating characteristic Boosting methods for object categorization Random naive Bayes Statistics Statistical classification Naive Bayes classifier
306	Direct Kernel Partial Least Squares (DK-PLS): Feature Selection with Sensitivity Analysis Mark J. Embrechts () Kristin Bennett www.drugmining.com Add to Reading List Source URL: clopinet.com Language: English* - Date: 2003-12-19 16:44:36 Partial least squares regression Kernel methods Kernel principal component analysis Support vector machine Kernel Feature selection Principal component analysis Mlpy Statistics Machine learning Multivariate statistics
307	6.867 Machine learning, lecture 12 (Jaakkola) 1 Lecture topics: model selection criteria • Feature subset selection (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Statistical theory Information theory Naive Bayes classifier Mutual information Likelihood function Loss function Statistics Bayesian statistics Statistical classification
308	NIPS 2003 Feature Selection Workshop Classification for High Dimensional Problems Using Bayesian Neural Networks and Dirichlet Diffusion Trees Radford M. Neal and Jianguo Zhang Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-19 14:19:32 Statistical inference Statistical models Multivariate statistics Overfitting Bayesian inference Bayesian network Early stopping Feature selection Hyperparameter Statistics Bayesian statistics Machine learning
309	Boosting Flexible Learning Ensembles with Dynamic Feature Selection Alexander Borisov, Victor Eruhimov, Eugene Tuv ∗ Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-10 08:57:10 Artificial intelligence Learning Random forest Boosting Regression analysis Gradient boosting Ensemble learning Statistics Decision trees
310	Artif Intell Rev:159–190 DOIs10462Machine learning: a review of classification and combining techniques S. B. Kotsiantis · I. D. Zaharakis · P. E. Pintelas Add to Reading List Source URL: www.cs.bham.ac.uk Language: English - Date: 2008-05-15 09:15:06 Decision trees Statistical classification Supervised learning Perceptron Winnow Feature selection Ensemble learning Support vector machine Pruning Machine learning Statistics Computational statistics

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