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Bayesian classifier
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#	Item
131	Robust Classification of Multivariate Time Series by Imprecise Hidden Markov ModelsI Alessandro Antonucci1,∗, Rocco de Rosa2 , Alessandro Giusti1 , Fabio Cuzzolin3 Abstract A novel technique to classify time series wit Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-11-19 11:12:13 Bayesian inference Credal set Markov processes Estimation theory Hidden Markov model Markov chain Expectation–maximization algorithm Imprecise probability Naive Bayes classifier Statistics Markov models Bayesian statistics
132	A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-04-30 12:32:59 Bayesian statistics Graphical models Cluster analysis Mixture model Record linkage Pattern recognition Supervised learning Bayesian network Naive Bayes classifier Statistics Machine learning Statistical models
133	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: 141.14.165.6 Language: English - Date: 2013-05-02 16:15:38 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier
134	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
135	Data Mining BY HEIDI KUZMA AND SHEILA VAIDYA D ATA M I N I N G Data Mining Add to Reading List Source URL: www.ctbto.org Language: English - Date: 2009-10-13 10:07:05 Data analysis Bayesian statistics Formal sciences Statistical classification Comprehensive Nuclear-Test-Ban Treaty Organization Preparatory Commission Data mining Data fusion Machine learning Naive Bayes classifier Statistics Information Science
136	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: mindmodeling.org Language: English - Date: 2013-07-15 14:54:32 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier
137	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: www.jonathandnelson.com Language: English - Date: 2013-05-02 18:50:57 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier
138	Cold-start Active Learning with Robust Ordinal Matrix Factorization Neil Houlsby1 Jos´e Miguel Hern´andez-Lobato1 Zoubin Ghahramani University of Cambridge, Department of Engineering, Cambridge CB2 1PZ, UK Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-07-12 13:27:52 Statistical models Regression analysis Markov models Mixture model Kullback–Leibler divergence Variational Bayesian methods Bayesian inference Naive Bayes classifier Principle of maximum entropy Statistics Bayesian statistics Statistical theory
139	Selective Sampling for Information Extraction with a Committee of Classifiers Evaluating Machine Learning for Information Extraction, Track 2 Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Parts of speech Machine learning Bayesian statistics Classifier Kullback–Leibler divergence Statistical classification Principle of maximum entropy Information extraction Statistics Statistical theory Probability and statistics
140	Data Mining II Ensembles Heiko Paulheim, Robert Meusel Introduction Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:12 Statistical classification Parts of speech Bayesian statistics Ensemble learning Classifier Bob Meusel Naive Bayes classifier Statistics Baseball Machine learning

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