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Random subspace method
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#	Item
21	2009 21st IEEE International Conference on Tools with Artificial Intelligence Learning Link-Based Classifiers from Ontology-Extended Textual Data Cornelia Caragea Computer Science Department Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-03-12 18:41:15 Bayesian statistics Supervised learning Naive Bayes classifier Classifier Data mining Random subspace method Statistics Machine learning Statistical classification
22	Learning classifiers from distributed, semantically heterogeneous, autonomous data sources by Doina Caragea A dissertation submitted to the graduate faculty Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-01-08 20:51:16 Statistical classification Bayesian statistics Ensemble learning Margin classifier Naive Bayes classifier K-nearest neighbor algorithm Perceptron Weka Random subspace method Statistics Machine learning Artificial intelligence
23	Generalization in Holistic versus Analytic Processing of Faces M. Bicego∗ DEIR - University of Sassari, via Torre Tonda, [removed], Sassari (Italy) E. Grosso Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:56:31 Artificial intelligence Parts of speech Linear classifier Classifier Learning classifier system Eigenface Support vector machine Boosting methods for object categorization Random subspace method Statistics Statistical classification Machine learning
24	Automatic Artifact Identification in Image Communication Using Watermarking and Classification Algorithms Shabnam Sodagari, G. Hossein Hajimirsadeghi, Alireza Nasiri Avanaki Control and Intelligent Processing Center of E Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2008-09-06 06:26:22 Linear classifier Support vector machine Naive Bayes classifier Supervised learning Pattern recognition Principal component analysis Margin classifier Random subspace method Statistics Statistical classification Machine learning
25	SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification Michael Gutkin1, Ron Shamir1, Gideon Dror2 1 Blavatnik school of Computer Science, Tel Aviv University, Tel Aviv, Israel, 2 School Add to Reading List Source URL: www2.mta.ac.il Language: English* - Date: 2010-08-18 18:53:13 Support vector machine Naive Bayes classifier Classifier Binary classification Supervised learning Feature selection Linear discriminant analysis Cross-validation Random subspace method Statistics Machine learning Statistical classification
26	Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results Paul N. Bennett Susan T. Dumais Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2002-06-06 18:04:37 Support vector machine Binary classification Margin classifier Classifier Random subspace method Linear classifier Statistics Statistical classification Naive Bayes classifier
27	Journal of Machine Learning Research[removed]1390 Submitted 8/08; Revised 2/09; Published 7/09 Model Monitor (M 2 ): Evaluating, Comparing, and Monitoring Models Troy Raeder Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-07-09 19:33:12 Weka Binary classification AdaBoost Random subspace method Statistics Machine learning Statistical classification
28	Using Multiple and Negative Target Rules to Make Classifiers More Understandable Jiuyong Li 1 Department of Mathematics and Computing, University of Southern Queensland, Australia, 4350, [removed] Add to Reading List Source URL: eprints.usq.edu.au Language: English - Date: 2013-07-02 18:42:05 Data mining Classification rule Association rule learning Classifier Learning classifier system Random subspace method Statistics Statistical classification Machine learning
29	Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng1,2 , Sanjeev Satheesh1 , Alexander C. Berg3 , Li Fei-Fei1 Computer Science Department, Stanford University1 Computer Science De Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:18:28 Support vector machine Classifier Multiclass classification Boosting methods for object categorization Random subspace method Statistics Statistical classification Linear classifier
30	Ensemble machine learning methods for acoustic modeling of speech Yunxin Zhao Professor, Department of Computer Science University of Missouri, Columbia MO, USA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-01-03 02:52:26 Learning Computational statistics Random forest Statistical classification Classifier Speech recognition Random subspace method Book:Machine Learning - The Complete Guide Ensemble learning Artificial intelligence Machine learning