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Linear classifier
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#	Item
101	Approaches to Adversarial Drift Alex Kantchelian Sadia Afroz Ling Huang Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2013-09-25 04:16:42 Linear classifier Learning classifier system Concept drift Malware Support vector machine Binary classification Naive Bayes classifier Ensemble learning Pattern recognition Statistics Machine learning Statistical classification
102	Microsoft PowerPoint - svm15 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2011-04-20 22:39:52 Abstract algebra Linear algebra Vectors Group theory Vector space Support vector machine Linear classifier Euclidean vector Line Algebra Mathematics Statistical classification
103	Data Miner VCL 1.0 A quick guide to artificial intelligence and classification Data Miner v1.0  Dew Research www.dewresearch.com Add to Reading List Source URL: www.dewresearch.com Language: English - Date: 2012-01-10 06:12:40 Statistical classification Data mining Theoretical computer science Naive Bayes classifier Linear classifier K-nearest neighbor algorithm Recommender system Algorithm Supervised learning Statistics Machine learning Artificial intelligence
104	Adaptive Large Margin Training for Multilabel Classification Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2011-06-03 17:25:48 Support vector machine Multi-label classification Linear classifier Pattern recognition Linear discriminant analysis Regularization Perceptron Statistics Statistical classification Machine learning
105	Improved Natural Language Learning via Variance-Regularization Support Vector Machines Shane Bergsma University of Alberta Dekang Lin Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2010-05-08 01:29:33 Statistical classification Support vector machines Natural language processing Learning Ranking SVM Active learning Linear classifier Regularization Document classification Statistics Machine learning Artificial intelligence
106	Journal of Machine Learning Research3817 Submitted 4/13; Revised 9/13; PublishedBudgetedSVM: A Toolbox for Scalable SVM Approximations Nemanja Djuric Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2014-01-24 01:52:55 Support vector machines Learning Linear classifier Perceptron Stochastic gradient descent Least squares support vector machine Shogun Statistics Machine learning Statistical classification
107	Distributed Confidence-Weighted Classification on MapReduce Nemanja Djuric Temple University Philadelphia, PA, USA Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-09-28 00:40:17 Statistical classification Distributed computing architecture MapReduce Parallel computing Machine learning Support vector machine Linear classifier Perceptron Apache Hadoop Statistics Computing Concurrent computing
108	The Classification Problem Seven Lectures on Statistical Parsing Christopher Manning LSA Linguistic Institute 2007 LSA 354 Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2007-08-06 23:23:55 Probability and statistics Generative model Discriminative model Statistical parsing Parsing Bottom-up parsing Linear classifier Machine learning Statistics Artificial intelligence
109	Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification Zhuang Wang Nemanja Djuric Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2013-03-26 23:23:56 Learning Neural networks Support vector machines Kernel methods Linear classifier Artificial neuron Active learning Least squares support vector machine Kernel adaptive filter Machine learning Statistics Statistical classification
110	Recap: Multiple Views and Motion • Epipolar geometry – Relates cameras in two positions – Fundamental matrix maps from a point in one image to a line (its epipolar line) in the other – Can solve for F given corre Add to Reading List Source URL: cs.brown.edu Language: English - Date: 2013-10-07 14:31:50 Learning Statistical classification Epipolar geometry Fundamental matrix Boosting methods for object categorization Ensemble learning Linear classifier Artificial intelligence Machine learning Statistics

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