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Random naive Bayes
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21	kbcs 2002 Proceedings Template Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-03-26 18:54:33 Naive Bayes classifier Classification rule Sequence alignment BLAST Margin classifier Random naive Bayes Least squares support vector machine Statistics Statistical classification Support vector machine
22	Minimal Cost Complexity Pruning of Meta-Classifiers Andreas L. Prodromidis Salvatore J. Stolfo Department of Computer Science Columbia University Add to Reading List Source URL: idm-lab.org Language: English - Date: 2005-05-31 06:09:24 Learning Artificial intelligence Ensemble learning Pruning Naive Bayes classifier Classifier Random subspace method AdaBoost Statistics Machine learning Statistical classification
23	Multinomial Event Model Based Abstraction for Sequence and Text Classiﬁcation Dae-Ki Kang, Jun Zhang, Adrian Silvescu, and Vasant Honavar Artiﬁcial Intelligence Research Laboratory, Department of Computer Science, Io Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-26 18:38:00 Statistical classification Naive Bayes classifier Deduction Entailment Random naive Bayes Logic Statistics Bayesian statistics
24	Bayesian Net References Version 4 Add to Reading List Source URL: www.agena.co.uk Language: English - Date: 2010-02-23 15:24:12 Bayesian inference Bayesian probability Naive Bayes classifier Probabilistic logic Graphical model Bayes factor Exponential random graph models Statistics Bayesian statistics Bayesian network
25	Discriminatively Trained Markov Model for Sequence Classification Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar Artificial Intelligence Research Laboratory Center for Computational Intelligence Learning and Discovery Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-29 21:29:16 Graphical models Bayesian statistics Statistical models Generative model Naive Bayes classifier Support vector machine Discriminative model Cross-validation Markov random field Statistics Machine learning Statistical classification
26	Building Reliable Metaclassifiers for Text Learning Paul N. Bennett May 2006 CMU-CS Add to Reading List Source URL: reports-archive.adm.cs.cmu.edu Language: English - Date: 2006-05-18 19:34:23 Bayesian statistics Naive Bayes classifier Calibration Support vector machine Classifier Random subspace method Boosting methods for object categorization Statistics Statistical classification Machine learning
27	RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification? Dae-Ki Kang, Adrian Silvescu, and Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-11 14:05:00 Bayesian statistics Naive Bayes classifier Ensemble learning Support vector machine Classifier Document classification Random naive Bayes Multiclass classification Statistics Statistical classification Machine learning
28	2009 21st IEEE International Conference on Tools with Artificial Intelligence Learning Link-Based Classifiers from Ontology-Extended Textual Data Cornelia Caragea Computer Science Department Iowa State University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-03-12 18:41:15 Bayesian statistics Supervised learning Naive Bayes classifier Classifier Data mining Random subspace method Statistics Machine learning Statistical classification
29	Learning classifiers from distributed, semantically heterogeneous, autonomous data sources by Doina Caragea A dissertation submitted to the graduate faculty Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-01-08 20:51:16 Statistical classification Bayesian statistics Ensemble learning Margin classifier Naive Bayes classifier K-nearest neighbor algorithm Perceptron Weka Random subspace method Statistics Machine learning Artificial intelligence
30	Automatic Artifact Identification in Image Communication Using Watermarking and Classification Algorithms Shabnam Sodagari, G. Hossein Hajimirsadeghi, Alireza Nasiri Avanaki Control and Intelligent Processing Center of E Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2008-09-06 06:26:22 Linear classifier Support vector machine Naive Bayes classifier Supervised learning Pattern recognition Principal component analysis Margin classifier Random subspace method Statistics Statistical classification Machine learning