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Naive Bayes classifier
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#	Item
411	Bayesian Network Classifiers in Weka Remco R. Bouckaert [removed] September 1, 2004 Abstract Various Bayesian network classifier learning algorithms are implemented in Weka [10]. Add to Reading List Source URL: weka.sourceforge.net Language: English - Date: 2004-09-29 00:47:39 Machine learning Statistical classification Bayesian network Naive Bayes classifier Graphical model Supervised learning Feature selection Statistics Bayesian statistics Statistical models
412	Technical Report Nr. TUD-CS[removed]May 8th, 2013 SuSi: A Tool for the Fully Automated Classification and Categorization of Add to Reading List Source URL: www.informatik.tu-darmstadt.de Language: English - Date: 2013-05-13 02:33:30 Machine learning Smartphones Statistical classification Embedded Linux Google Android Support vector machine Galaxy Nexus Naive Bayes classifier Computing Statistics Software
413	Approaches to Adversarial Drift Alex Kantchelian Sadia Afroz Ling Huang Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2013-09-06 17:26:04 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
414	On the Feasibility of Internet-Scale Author Identification Arvind Narayanan Hristo Paskov Neil Zhenqiang Gong John Bethencourt [removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-03-23 19:11:14 Parts of speech Classifier Naive Bayes classifier Blog Stylometry Multiclass classification Support vector machine Plagiarism detection Chinese classifier Statistics Statistical classification Machine learning
415	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
416	A Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification Ganesh Ramakrishnan Krishna Prasad Chitrapura Raghu Krishnapuram IBM India Research Lab, IIT, New Delhi, India Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:51 Naive Bayes classifier Support vector machine Supervised learning Document classification Expectation–maximization algorithm Probabilistic latent semantic analysis Kalman filter Object categorization from image search Semi-supervised learning Statistics Machine learning Statistical classification
417	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
418	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
419	Identifying vehicle descriptions in microblogging text with the aim of reducing or predicting crime Coral Featherstone Meraka Institute, building 43, 627 Meiring Naude Road, Add to Reading List Source URL: researchspace.csir.co.za Language: English - Date: 2014-04-10 17:55:21 Natural language processing Science Real-time web Social media Text messaging Twitter Naive Bayes classifier Statistical classification Document classification Machine learning Statistics Artificial intelligence
420	A Pitfall and Solution in Multi-Class Feature Selection for Text Classification Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:17 Machine learning Dimension reduction Feature selection Support vector machine Weka Cross-validation Naive Bayes classifier Information retrieval Gain Statistics Model selection Statistical classification

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