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Feature selection
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#	Item
161	Feature Selection using Multiple Streams Paramveer S. Dhillon Computer and Information Science University of Pennsylvania Philadelphia, PA, U.S.A Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2010-10-01 23:38:39 Model selection Dimension reduction Feature selection Support vector machine Stepwise regression Regularization Supervised learning Gmax Lasso Statistics Regression analysis Machine learning
162	PHD COU RSE HIGH-DIMENSIONAL ECONOMETRICS: ORACLE PROPERTY, ORACLE INEQUALITIES AND INFERENCE Add to Reading List Source URL: econ.au.dk Language: English - Date: 2015-02-10 08:14:18 Regularization Science Learning Analysis Econometrics Feature selection Lasso
163	CS 2750 Machine Learning Lecture 2 Designing a learning system Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-01-22 10:59:48 Artificial intelligence Estimation theory Maximum likelihood Feature selection Supervised learning Statistics Machine learning Statistical theory
164	Artificial Intelligence ELSEVIER Artificial Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2010-10-25 23:26:18 Machine learning Information science Dimension reduction Feature selection Model selection Supervised learning Pattern recognition Relevance Algorithm Science Statistics Knowledge
165	Regularized Logistic Regression for Mind Reading with Parallel Validation Heikki Huttunen, Jukka-Pekka Kauppi, Jussi Tohka Tampere University of Technology Department of Signal Processing Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2012-01-05 06:58:31 Model selection Econometrics Regularization Cross-validation Logistic regression Least squares Feature selection Statistics Machine learning Regression analysis
166	Information-Theoretic Inference of Large Transcriptional Regulatory Networks Add to Reading List Source URL: bsb.eurasipjournals.com Language: English Minimum redundancy feature selection Mutual information Feature selection ARACNE Total correlation Biological network inference Supervised learning Bayesian network Gene regulatory network Statistics Information theory Networks
167	2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics October 20-23, 2013, New Paltz, NY DETECTION AND CLASSIFICATION OF ACOUSTIC SCENES AND EVENTS: AN IEEE AASP CHALLENGE Add to Reading List Source URL: c4dm.eecs.qmul.ac.uk Language: English - Date: 2013-11-01 08:31:02 Model selection Music information retrieval SURF Statistics Science Information science Dimension reduction Feature selection
168	Classifying Documents using Ruby Paul Dix http://www.pauldix.net Add to Reading List Source URL: pauldix.blogs.com Language: English - Date: 2008-08-28 10:03:24 Computational statistics Statistical classification Document classification Classifier Feature selection Random subspace method Naive Bayes classifier Statistics Machine learning Artificial intelligence
169	TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visual)-Words Approaches Sebastian Schmiedeke, Pascal Kelm, and Thomas Sikora Communication Systems Group Technische Universität Berlin, Germany Add to Reading List Source URL: elvera.nue.tu-berlin.de Language: English - Date: 2012-10-08 09:05:50 Information retrieval Bayesian statistics Data analysis Principal component analysis Naive Bayes classifier Feature selection Support vector machine Tf*idf Statistics Statistical classification Multivariate statistics
170	On Compact Codes for Spatially Pooled Features Yangqing Jia Oriol Vinyals Trevor Darrell UC Berkeley EECS, Berkeley, CAUSA Add to Reading List Source URL: www1.icsi.berkeley.edu Language: English - Date: 2013-05-09 00:26:18 Statistical classification Cybernetics Learning Machine learning Feature selection Principal component analysis Segmentation Cluster analysis Linear classifier Statistics Multivariate statistics Data analysis

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