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Classifier
Results: 1687

#	Item
941	Unsupervised Two-Class & Multi-class Support Vector Machines for Abnormal Traffic Characterization [Extended Abstract] † † Add to Reading List Source URL: pam2009.kaist.ac.kr Language: English - Date: 2009-03-31 10:04:15 Statistical classification Data mining Support vector machine Anomaly detection Document classification Unsupervised learning Kernel methods Supervised learning Margin classifier Statistics Machine learning Artificial intelligence
942	Unsupervised Two-Class & Multi-class Support Vector Machines for Abnormal Traffic Characterization [Extended Abstract] † † Add to Reading List Source URL: eprints.lancs.ac.uk Language: English - Date: 2011-01-27 19:30:30 Statistical classification Data mining Support vector machine Anomaly detection Document classification Unsupervised learning Kernel methods Supervised learning Margin classifier Statistics Machine learning Artificial intelligence
943	In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-00), pages[removed], Austin, Texas, August[removed]Restricted Bayes Optimal Classifiers Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:12 Naive Bayes classifier Margin classifier Decision boundary Bayesian inference Generative model Density estimation Estimation theory Linear classifier Book:Machine Learning - The Complete Guide Statistics Statistical classification Support vector machine
944	! ! Data Science and Technology Entrepreneurship Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2013-03-04 10:02:39 Statistical classification Machine learning Linear classifier Algebraic number theory Multivariate statistics Perceptron Discriminant Vector space Linear discriminant analysis Algebra Statistics Mathematics
945	[removed]Machine Learning, Spring 2011: Homework 4 Due: Tuesday March 1st at the begining of the class Instructions There are two questions on this assignment. Please submit your writeup as two separate sets of pages accor Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-22 18:42:50 Econometrics Expectation–maximization algorithm Missing data Regression analysis Naive Bayes classifier Linear regression Bayesian network Empirical Bayes method Statistics Estimation theory Bayesian statistics
946	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-26 12:02:42 Statistical theory Bayesian statistics Machine learning Naive Bayes classifier Kullback–Leibler divergence Mutual information Conditional entropy Joint probability distribution Normal distribution Statistics Information theory Statistical classification
947	Learning on the Test Data: Leveraging “Unseen” Features Ben Taskar BTASKAR @ CS . STANFORD . EDU Ming Fai Wong MINGFAI . WONG @ CS . STANFORD . EDU Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-04 19:13:52 Statistical models Statistical classification Model selection Overfitting Bayesian network Cross-validation Support vector machine Graphical model Naive Bayes classifier Statistics Bayesian statistics Machine learning
948	1 Supplementary Discussion 1.1 Overview First, we report how well the trained classifiers could detect the presence of each image category (1.2), for both target and distractor stimuli. We then present feature importance Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2010-11-04 09:54:31 Statistical classification Cognition Negative priming Mind Linguistics Philosophy of mind Parts of speech Machine learning Classifier
949	Effects of generative and discriminative learning on use of category variability Anne S. Hsu ([removed]) Department of Cognitive, Perceptual and Brain Sciences, University College London, London, UK Thomas L. Add to Reading List Source URL: ahsu.psychol.ucl.ac.uk Language: English - Date: 2012-01-09 14:24:48 Artificial intelligence Learning Generative model Discriminative model Pattern recognition Graphical model Language acquisition Bag of words model in computer vision Linear classifier Machine learning Statistics Statistical models
950	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