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Linear classifier
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31	Ill l Ill l l Il Ill l Ill l Ill l Ill l Ill l Il l Ill l Ill Il l l Ill Il l Ill US007756799B2nited States Patent Add to Reading List Source URL: www.kirshenbaum.net Language: English - Date: 2014-02-14 19:39:00 Statistical classification Classifier Naive Bayes classifier Support vector machine Multiclass classification Multi-label classification Classification rule Chinese classifier Linear classifier
32	Multi-Label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages Rahul Agrawal Microsoft AdCenter Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:47:04 Statistical classification Machine learning Multi-label classification Support vector machine Multiclass classification Supervised learning Semi-supervised learning Pattern recognition Linear classifier Classifier chains
33	Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions Mohamed Elhoseiny Babak Saleh Ahmed Elgammal Department of Computer Science, Rutgers University, New Brunswick, NJ [m.elhoseiny,babaks,elgammal]@cs Add to Reading List Source URL: paul.rutgers.edu Language: English - Date: 2014-12-01 03:20:00 Statistical classification Artificial intelligence Learning Machine learning Cognition One-shot learning Linear classifier Support vector machine Classifier Multi-label classification
34	Near-Optimal Evasion of Convex-Inducing Classifiers Blaine Nelson1 Benjamin I. P. Rubinstein1 Ling Huang2 Anthony D. Joseph1,2 Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-03-31 18:53:04 Statistical classification Operations research Convex analysis Mathematical optimization Support vector machine Linear classifier Ellipsoid method Convex optimization Convex function
35	Information Retrieval: Assignment 5 Problempoints) Indicate in the figure below what the linear maximum margin (SVM) classifier for the binary problem triangle vs dot is. Draw three lines: the two boundaries of t Add to Reading List Source URL: www.cis.lmu.de Language: English - Date: 2013-07-02 08:50:43
36	PDF Document Add to Reading List Source URL: www.neurotheory.columbia.edu Language: English - Date: 2014-02-01 20:25:40 Statistics Statistical classification Machine learning Linear discriminant analysis Probability distribution Normal distribution Perceptron Mu Margin classifier
37	Food-101 – Mining Discriminative Components with Random Forests Lukas Bossard1 1 Matthieu Guillaumin1 Add to Reading List Source URL: www.vision.ee.ethz.ch Language: English - Date: 2014-07-09 13:23:14 Support vector machine Random forest Statistics Statistical classification Linear classifier
38	Protocols for Learning Classifiers on Distributed Data Hal Daum´e III Je↵ M. Phillips University of Maryland, CP University of Utah Suresh Venkatasubramanian Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2012-02-28 20:30:06 Linear classifier Classifier Gain Boosting methods for object categorization Random subspace method Statistics Statistical classification Margin classifier
39	Optimal Linear Regression on Classifier Outputs Yann Guermeur, Florence d’Alch´e-Buc and Patrick Gallinari LIP6, Universit´e Pierre et Marie Curie Tours 46-00, Boˆıte 169 4, Place Jussieu, 75252 Paris cedex 05, Fra Add to Reading List Source URL: www.loria.fr Language: English - Date: 2012-07-30 10:02:32
40	IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 26, NO. 4, APRILClassification Based on Cortical Folding Patterns Edouard Duchesnay, Arnaud Cachia, Alexis Roche, Denis Rivière, Yann Cointepas, Add to Reading List Source URL: brainvisa.info Language: English* - Date: 2012-12-13 03:57:45 Multivariate statistics Model selection Brain Linear discriminant analysis Sulcus Linear classifier Cross-validation Feature selection Support vector machine Statistics Machine learning Statistical classification