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Random subspace method
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31	Journal of Mathematical Sciences and Applications, 2014, Vol. 2, No. 2, 17-20 Available online at http://pubs.sciepub.com/jmsa/2/2/1 © Science and Education Publishing DOI:[removed]jmsa[removed]Comparison of Single and E Add to Reading List Source URL: www.sciepub.com Language: English Machine learning Support vector machine Parts of speech Linear classifier Classifier Boosting Linear discriminant analysis Random subspace method Boosting methods for object categorization Statistics Statistical classification Ensemble learning
32	User Authentication from Web Browsing Behavior Myriam Abramson David W. Aha Naval Research Laboratory, Code 5584 Add to Reading List Source URL: www.nrl.navy.mil Language: English - Date: 2013-08-21 21:41:30 Random subspace method Portable software Statistical classification HTTP cookie Learning classifier system Browse Google Chrome Internet privacy Usability Software Computing Ensemble learning
33	Automatic Feature Decomposition for Single View Co-training Minmin Chen, Kilian Q. Weinberger, Yixin Chen mc15, kilian, [removed] Washington University in Saint Louis, 1 Brookings Dr., Saint Louis, MO[removed]USA Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2011-05-16 13:38:17 Artificial intelligence Co-training Linear classifier Supervised learning Semi-supervised learning Support vector machine Classifier Naive Bayes classifier Random subspace method Statistics Machine learning Statistical classification
34	Microsoft Word - j43_Daskalaki_etal_2006.doc Add to Reading List Source URL: hci.ece.upatras.gr Language: English - Date: 2012-02-29 04:08:11 Receiver operating characteristic Support vector machine Gain Perceptron Naive Bayes classifier Multinomial logit Random subspace method AdaBoost Statistics Machine learning Statistical classification
35	Expert Systems with Applications[removed]–[removed]Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2009-08-24 10:59:56 AdaBoost Boosting Random forest Random subspace method Stability Machine learning Ensemble learning K-nearest neighbor algorithm
36	D A T A M I N I N G Distributed Data Mining in Credit Card Fraud Detection Add to Reading List Source URL: cs.fit.edu Language: English - Date: 1999-11-22 23:24:04 Boosting Statistical classification Classifier Pruning Random subspace method Boosting methods for object categorization Machine learning Ensemble learning AdaBoost
37	Improving FPGA Accelerated Tracking with Multiple Online Trained Classifiers Matthew Jacobsen, Siddarth Sampangi, Yoav Freund, Ryan Kastner Computer Science & Engineering University of California, San Diego {mdjacobs, ss Add to Reading List Source URL: kastner.ucsd.edu Language: English - Date: 2014-06-30 10:31:01 Computational statistics Machine learning Parts of speech Statistical classification AdaBoost Haar-like features Classifier Boosting Random subspace method Ensemble learning Artificial intelligence Learning
38	SUPPORT VECTOR MACHINE AND MAXIMUM LIKELIHOOD APPROACHES TO F-MEASURE OPTIMIZATION Trevor Rose Supervisor: A/ Prof. Spiridon Penev Add to Reading List Source URL: www.ontotext.com Language: English - Date: 2014-08-19 16:38:16 Linear classifier Support vector machine Binary classification Principle of maximum entropy Automatic summarization Margin classifier Random subspace method Statistics Statistical classification Machine learning
39	Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning Barzan Mozafari⋆ ⋆ Purna Sarkar† Michael Franklin† Michael Jordan† Samuel Madden‡ Add to Reading List Source URL: www.vldb.org Language: English - Date: 2014-09-15 15:12:31 Statistical classification Bootstrapping Resampling Support vector machine Classifier Margin Random subspace method Classifier chains Statistics Machine learning Active learning
40	Institut für Informatik und Wirtschaftsinformatik -- Lehrstuhl für Wirtschaftsinformatik V Dr. Heiko Paulheim / Robert Meusel Exercise 4: Data Mining II – Ensembles In this exercise we will focus on all kinds of ense Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:11 Learning Classifier Boosting AdaBoost Statistical classification Random subspace method Cascading classifiers Ensemble learning Statistics Artificial intelligence