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Linear classifier
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#	Item
201	Web spam Identification Through Content and Hyperlinks Jacob Abernethy Olivier Chapelle Carlos Castillo Add to Reading List Source URL: airweb.cse.lehigh.edu Language: English - Date: 2008-05-12 09:34:41 Statistical classification Spamming Machine learning Cybercrime Marketing Spam Linear classifier Static single assignment form Adversarial information retrieval Internet Statistics Computing
202	Distributed Training Strategies for the Structured Perceptron Ryan McDonald Keith Hall Gideon Mann Google, Inc., New York / Zurich {ryanmcd\|kbhall\|gmann}@google.com Add to Reading List Source URL: www.cslu.ogi.edu Language: English - Date: 2014-04-16 18:25:41 Perceptron Support vector machine Linear classifier Multilayer perceptron Statistics Neural networks Statistical classification
203	Ghostscript wrapper for sharensferbourdevributesT.pdf Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-03-09 17:50:53 Statistical classification Face recognition Parts of speech Machine learning Face detection Classifier Histogram of oriented gradients Linear classifier Boosting methods for object categorization Artificial intelligence Statistics Vision
204	Discriminative Decorrelation for Clustering and Classification? Bharath Hariharan1 , Jitendra Malik1 , and Deva Ramanan2 1 Univerisity of California at Berkeley, Berkeley, CA, USA Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-07-31 09:01:30 Data analysis Computer vision Machine learning Linear classifier Linear discriminant analysis Principal component analysis Whitening transformation Support vector machine Normal distribution Statistics Multivariate statistics Statistical classification
205	Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CS Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-07-17 16:11:10 Statistical classification Machine learning Support vector machines Linear classifier Caltech 101 Kernel methods Vector space Least squares support vector machine Statistics Algebra Mathematics
206	Learning Image Features Learning Image Features Yann LeCun Yann LeCun The Courant Institute of Mathematical Sciences The Courant Institute of Mathematical Sciences Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2010-07-15 17:03:10 Statistical classification Vision Computer vision Yann LeCun Neural network Supervised learning Visual cortex Linear classifier Support vector machine Artificial intelligence Statistics Machine learning
207	Dependence between Models and Tests in Predictive Toxicology Tom Aldenberg RIVM Bilthoven, NL OpenTox Interaction Meeting: Műnchen, August 9-12, 2011 Add to Reading List Source URL: www.opentox.org Language: English - Date: 2011-09-30 06:10:41 Health in the Netherlands Netherlands National Institute for Public Health and the Environment Bilthoven Naive Bayes classifier Independence Generalized linear model Statistics Statistical models Bayesian statistics
208	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:56 Pattern recognition Semi-supervised learning Stability Linear classifier Regularization Expectation–maximization algorithm Maximum likelihood Loss function Support vector machine Statistics Machine learning Supervised learning
209	Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:48 Statistical classification Elementary mathematics Semantics Function Supervised learning Support vector machine Ambiguity Linear classifier M-estimator Statistics Machine learning Mathematics
210	Final version appears in Expert Systems with Applications (2012), vol. 39, no. 9, pp[removed]Integrated Classifier Hyperplane Placement and Feature Selection John W. Chinneck Systems and Computer Engineering Add to Reading List Source URL: www.sce.carleton.ca Language: English - Date: 2013-01-03 14:22:38 Mathematical optimization Statistical classification Constraint programming Support vector machine Hyperplane Linear programming Constraint Candidate solution Geometry Mathematics Operations research

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