Feature selection - PDFSEARCH.IO - Document Search Engine

Feature selection
Results: 571

#	Item
471	Entropy-Based Criterion in Categorical Clustering Tao Li TAOLI @ CS . ROCHESTER . EDU Department of Computer Science, University of Rochester, Rochester, NY[removed]USA Sheng Ma Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:21:06 Machine learning Statistical theory Cluster analysis Multivariate statistics Mutual information Entropy K-means clustering Feature selection Mixture model Statistics Probability and statistics Information theory
472	Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes Marek Petrik* [removed] Gavin Taylor† Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:51 Linear temporal logic Functional analysis Distribution Representation theory
473	Eigenvalue Sensitive Feature Selection Yi Jiang Jiangtao Ren Sun Yat-sen University, Guangzhou, Guangdong, 510006, P.R.China Abstract Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:37 Spectral theory Differential operators Linear algebra Matrix theory Spectral clustering Eigenvalues and eigenvectors Laplace operator Spectrum Algebra Mathematical analysis Mathematics
474	Implementation of an Automated Network Pruning Strategy for Add to Reading List Source URL: cegis.usgs.gov Language: English - Date: 2010-12-23 09:15:15 Hydrography Earth National Hydrography Dataset NHD Feature selection Geographic information system Pruning Drainage basin Water Hydrology Physical geography
475	Generalized LARS as an Eﬀective Feature Selection Tool for Text Classiﬁcation With SVMs S. Sathiya Keerthi Yahoo! Research Labs, 210 S. DeLacey Avenue, Pasadena, CA[removed]Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:03 Least-angle regression Gauss–Markov theorem Feature selection Regression analysis Statistics Statistical classification Support vector machine
476	Online Feature Selection for Pixel Classification Karen Glocer [removed] Department of Computer Science, University of California Santa Cruz, Santa Cruz, CA[removed]USA Damian Eads James Theiler Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:32 Vision Optics Edge detection Canny edge detector Segmentation Object recognition Feature Thresholding Ground truth Computer vision Image processing Imaging
477	KERNEL/FEATURE SELECTION FOR SUPPORT VECTOR MACHINES APPLIED TO MATERIALS DESIGN 1 Shawn Martin, Michael Kirby, Rick Miranda Department of Mathematics Add to Reading List Source URL: www.sandia.gov Language: English - Date: 2013-12-09 16:26:39 Linear algebra Operator theory Statistical classification Linux Linux kernel Kernel Support vector machine Projection Vector space Algebra Mathematics Statistics
478	Figure S 1. Comparison of KNN models submitted to MAQC-II project. MCC performance comparison of all KNN models among four teams. All teams generally agree that endpoints E, H, and L are easy and result in high performa Add to Reading List Source URL: www.nature.com Language: English - Date: 2010-07-30 10:26:07 Artificial intelligence Learning Cross-validation K-nearest neighbor algorithm Statistical classification Training set Data analysis Feature selection Statistics Machine learning Model selection
479	doi: [removed]j.2041-210X[removed]x Methods in Ecology and Evolution Cost-effective variable selection in habitat surveys Douglas C. Braun* and John D. Reynolds Add to Reading List Source URL: www.dfo-mpo.gc.ca Language: English - Date: 2013-04-05 13:58:23 Statistical methods Model selection Multivariate statistics Structural equation modeling Linear regression Sampling Akaike information criterion Analysis Feature selection Statistics Regression analysis Econometrics
480	Package ‘glmulti’ July 2, 2014 Version 1.0.7 Date 2013-04-10 Title Model selection and multimodel inference made easy Author Vincent Calcagno Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:00:39 Conceptual model Scientific modelling Feature selection Method Consensus Genetic algorithm Statistics Model selection Akaike information criterion

UPDATE