Feature selection - PDFSEARCH.IO - Document Search Engine

Feature selection
Results: 571

#	Item
181	StatVARIABLE SELECTION EXAMPLE FebCharlotte Wickham Add to Reading List Source URL: stat512.cwick.co.nz Language: English - Date: 2015-02-20 19:42:26 Akaike information criterion Economic model Feature selection Nonparametric regression Structural equation modeling Statistics Model selection Regression analysis
182	SPM Users Guide Introduction to RandomForests This guide provides a brief introduction to RandomForests. Title: Introduction to RandomForests Short Description: This guide provides a brief introduction to RandomForests.. Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:40 Regression analysis Decision trees Random forest Bootstrap aggregating Decision tree Feature selection Data analysis Tree R-tree Statistics Machine learning Ensemble learning
183	Journal of Machine Learning Research2353 Submitted 3/13; Published 8/13 Orange: Data Mining Toolbox in Python Janez Demˇsar Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-10-07 20:32:49 Free statistical software Data mining Scikit-learn Mlpy Orange Array programming languages Support vector machine Feature selection Decision tree learning Statistics Software Machine learning
184	Biomedical Document Triage: Automatic Classification Exploiting Category Specific Knowledge L. Venkata Subramaniam, Diwakar Punjani, Sougata Mukherjea IBM India Research Lab, New Delhi, India E-mail: {lvsubram, smukherj Add to Reading List Source URL: trec.nist.gov Language: English* Statistical classification Support vector machine Kernel methods Triage Document classification TREC Genomics Feature selection Boosting methods for object categorization Statistics Machine learning Artificial intelligence
185	Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use Add to Reading List Source URL: www.nesug.org Language: English - Date: 2007-11-28 13:50:39 Least-angle regression Linear regression Feature selection Least squares Model selection Logistic regression Cross-validation Regression Partial least squares regression Statistics Regression analysis Stepwise regression
186	Eye-Tracking Study Using Cellular Automaton Patterns as Visual Stimuli: Implications for Current Models of Stimulus-Driven Selection Processes Anirudh Tiwathia Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2012-09-20 14:37:04 Neuropsychology Eye Attention Perception Cognitive neuroscience Salience Visual search Eye movement Feature integration theory Cognitive science Mind Neuroscience
187	Input variable selection for ecological modelling in inter-basin water transfer management Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 02:21:15 Lakes Environmental chemistry Environmental soil science Diatom Feature selection Shoalhaven Scheme Plankton Reservoir Ecology Water Biological oceanography Planktology
188	Stacked Generalization Learning to Analyze Teenage Distress Add to Reading List Source URL: affect.media.mit.edu Language: English - Date: 2015-03-20 13:02:55 Statistical classification Ensemble learning Evaluation methods Research methods Support vector machine Qualitative research Feature selection Gradient boosting Statistics Machine learning Science
189	University of Alberta B IO - RELATION D ISCOVERY AND S PARSE L EARNING by Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-19 11:52:43 Cluster analysis Multivariate statistics Biclustering Bioinformatics Algorithm Kernel methods Synthetic data Feature selection Statistics Machine learning Geostatistics
190	This document provides a list of all the algorithms which have been included within the KEEL software toolThis list is grouped into different families and it is summarised in the following table. Algorithm Add to Reading List Source URL: sci2s.ugr.es Language: English - Date: 2014-01-29 08:51:50 Science Formal sciences Cybernetics Data analysis Mathematical optimization Data mining Feature selection Genetic algorithm Pattern recognition Statistics Machine learning Artificial intelligence

UPDATE