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Bayesian classifier
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#	Item
161	CALIFORNIA STATE SCIENCE FAIR 2014 PROJECT SUMMARY Name(s) Jeffrey Ni; Mitchell Wu Add to Reading List Source URL: www.usc.edu Language: English - Date: 2014-04-25 17:14:54 Weka Naive Bayes classifier Statistics Statistical classification Bayesian statistics
162	Table of Contents 1. Archipelago: Nonparametric Bayesian Semi-Supervised Learning ........................................................ 1 Ryan Adams and Zoubin Ghahramani 2. Tractable Nonparametric Bayesian Inference Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-06-20 15:37:14 Networks Bayesian statistics Probability theory Supervised learning Bayesian network Structured prediction Regularization Linear classifier Unsupervised learning Statistics Machine learning Graphical models
163	Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers Franz Pernkopf PERNKOPF @ TUGRAZ . AT Department of Electrical Engineering, Graz University of Technology, Inffeldgasse 16 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:47 Statistical models Statistical classification Naive Bayes classifier Generative model Bayesian network Pattern recognition Discriminative model Random naive Bayes Linear classifier Statistics Machine learning Bayesian statistics
164	Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms Vincent Ng and Claire Cardie Department of Computer Science Cornell University Ithaca, NY[removed] Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-07-16 12:11:18 Statistical classification Learning Natural language processing Bayesian statistics Co-training Supervised learning Word-sense disambiguation Information extraction Naive Bayes classifier Machine learning Statistics Artificial intelligence
165	Invited Applications Paper FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model Mark Cummins Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:58 Simultaneous localization and mapping Robotic mapping Kalman filter Pattern recognition Naive Bayes classifier Bayesian network Statistics Bayesian statistics Robot navigation
166	Local Similarity Discriminant Analysis Luca Cazzanti Applied Physics Lab, University of Washington, Seattle WA[removed]removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:23 Multivariate statistics Bayesian statistics Statistical theory Linear discriminant analysis Naive Bayes classifier Support vector machine Shape context Classification rule Pattern recognition Statistics Statistical classification Machine learning
167	PAC-Bayesian Learning of Linear Classifiers Pascal Germain [removed] Alexandre Lacasse [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:54 Ensemble learning AdaBoost Linear classifier Naive Bayes classifier Boosting Normal distribution Support vector machines LPBoost Margin classifier Machine learning Statistics Statistical classification
168	Tempering for Bayesian C&RT Nicos Angelopoulos [removed] James Cussens [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:12 Markov chain Bayesian network Posterior probability Conjugate prior Metropolis–Hastings algorithm Maximum likelihood Bayes estimator Naive Bayes classifier Bayesian inference in phylogeny Statistics Bayesian statistics Bayesian inference
169	Learning First-Order Probabilistic Models with Combining Rules Sriraam Natarajan NATARASR @ EECS . ORST. EDU Prasad Tadepalli TADEPALL @ EECS . ORST. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:12 Machine learning Statistical models Cluster analysis Mixture model Bayesian network Expectation–maximization algorithm Naive Bayes classifier Probabilistic logic Statistical classification Statistics Probability and statistics Bayesian statistics
170	Naive Bayes Models for Probability Estimation Daniel Lowd LOWD @ CS . WASHINGTON . EDU Pedro Domingos PEDROD @ CS . WASHINGTON . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:48 Probability theory Statistical models Networks Bayesian network Gibbs sampling Naive Bayes classifier Markov random field Expectation–maximization algorithm Belief propagation Statistics Bayesian statistics Graphical models

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