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Feature selection
Results: 571

#	Item
411	Florida International University and University of Miami TRECVID[removed]High Level Feature Extraction Lin Lin, Chao Chen, Mei-Ling Shyu Department of Electrical and Computer Engineering University of Miami, Coral Gables, Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2010-04-14 09:58:13 Dimension reduction Decision trees Formal sciences Support vector machine Classification rule Pruning Feature selection Data mining Feature extraction Statistics Statistical classification Machine learning
412	Tree Detection in Urban Regions Using Aerial LiDAR and Image Data John Secord and Avideh Zakhor EECS Department, U.C. Berkeley {secord,avz}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www-video.eecs.berkeley.edu Language: English - Date: 2006-12-16 19:39:58 Model selection Statistical classification Geostatistics Segmentation Support vector machine Spectral clustering Cluster analysis Region growing Feature selection Statistics Image processing Machine learning
413	Package ‘varSelRF’ July 2, 2014 Version 0.7-3 Date 2010-10-28 Title Variable selection using random forests Author Ramon Diaz-Uriarte Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:47:53 Ensemble learning Random forest Multivariate statistics Random variable Variable Plot Feature selection Is functions Correlation and dependence Statistics Information Science
414	Automated Content Scoring of Spoken Responses in an Assessment for Teachers of English Klaus Zechner, Xinhao Wang Educational Testing Service 660 Rosedale Road Princeton, NJ 08541, USA Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-05-18 13:05:37 Evaluation Market research Automatic identification and data capture Computer accessibility Speech recognition Graduate Record Examinations Scale Feature selection Psychometrics Education Statistics
415	Cumulative Citation Recommendation: A Feature-aware Comparisons of Approaches Gebrekirstos G. Gebremeskel ∗ , Jiyin He∗ , Arjen P. de Vries∗ and Jimmy Lin† ∗ CWI, Amsterdam, The Netherlands Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-16 17:56:56 Text Retrieval Conference Learning to rank Feature selection Random forest Document retrieval Search engine indexing Feature Information science Information retrieval Science
416	Package ‘Boruta’ July 2, 2014 Title A wrapper algorithm for all-relevant feature selection Version[removed]Depends R (>= 2.0.0), randomForest, rFerns Suggests mlbench Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:34:32 Statistic Variable and attribute Boruta Attribute Constructor
417	Florida International University and University of Miami TRECVID[removed]Semantic Indexing Chao Chen, Qiusha Zhu, Dianting Liu, Tao Meng, Lin Lin, Mei-Ling Shyu Department of Electrical and Computer Engineering University Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2011-03-04 14:18:37 Dimension reduction Feature selection Model selection Semantics Support vector machine Class Frame Machine learning Statistics Software engineering Artificial intelligence
418	The Annals of Applied Statistics 2008, Vol. 2, No. 2, 478–481 DOI: [removed]AOAS137C Main article DOI: [removed]AOAS137 © Institute of Mathematical Statistics, 2008 Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2008-07-03 12:15:55 Dimension reduction Feature selection Model selection Random forest Hierarchical clustering Linear regression R-tree Statistics Econometrics Regression analysis
419	The Annals of Statistics HIGH DIMENSIONAL GRAPHS AND VARIABLE SELECTION WITH THE LASSO ¨hlmann By Nicolai Meinshausen and Peter Bu Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2006-04-27 11:03:43 Estimation theory Parametric statistics Data analysis Linear regression Multivariate normal distribution Variance Normal distribution Covariance Feature selection Statistics Econometrics Regression analysis
420	2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake Add to Reading List Source URL: kiss.caltech.edu Language: English - Date: 2014-04-29 12:54:28 K-nearest neighbor algorithm Feature selection Supervised learning Linear classifier Statistical classification Kepler Least-angle regression RR Lyrae variable Pattern recognition Statistics Machine learning Artificial intelligence

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