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Naive Bayes classifier
Results: 563

#	Item
341	Automatic Feature Decomposition for Single View Co-training Minmin Chen, Kilian Q. Weinberger, Yixin Chen mc15, kilian, [removed] Washington University in Saint Louis, 1 Brookings Dr., Saint Louis, MO[removed]USA Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2011-05-16 13:38:17 Artificial intelligence Co-training Linear classifier Supervised learning Semi-supervised learning Support vector machine Classifier Naive Bayes classifier Random subspace method Statistics Machine learning Statistical classification
342	Microsoft Word - j43_Daskalaki_etal_2006.doc Add to Reading List Source URL: hci.ece.upatras.gr Language: English - Date: 2012-02-29 04:08:11 Receiver operating characteristic Support vector machine Gain Perceptron Naive Bayes classifier Multinomial logit Random subspace method AdaBoost Statistics Machine learning Statistical classification
343	Document Classification for Focused Topics Russell Power, Jay Chen, Trishank Karthik, Lakshminarayanan Subramanian (power, jchen, trishank, lakshmi)@cs.nyu.edu Abstract Feature extraction is one of the fundamental challe Add to Reading List Source URL: ai-d.org Language: English - Date: 2010-04-24 15:52:47 Natural language processing Information retrieval Statistical classification Machine learning Document classification Naive Bayes classifier Support vector machine Precision and recall Tf*idf Statistics Science Information science
344	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
345	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
346	Text Quantification: A Tutorial Fabrizio Sebastiani Qatar Computing Research Institute Qatar Foundation PO Box 5825 – Doha, Qatar E-mail: [removed] Add to Reading List Source URL: nmis.isti.cnr.it Language: English - Date: 2014-11-11 06:46:48 Artificial intelligence Learning Naive Bayes classifier Supervised learning Classifier Support vector machine Quantification Boosting Classification in machine learning Statistics Machine learning Statistical classification
347	SIGCHI Conference Paper Format Add to Reading List Source URL: www.asis.org Language: English - Date: 2014-11-13 13:58:24 Support vector machine Accuracy and precision Naive Bayes classifier Gain Oracle Data Mining Statistics Statistical classification Machine learning
348	Hyperopt-Sklearn Automatic Hyperparameter Configuration for Scikit-Learn Brent Komer, James Bergstra, Chris Eliasmith {bjkomer, james.bergstra, celiasmith}@uwaterloo.ca Centre for Theoretical Neuroscience, University of Add to Reading List Source URL: compneuro.uwaterloo.ca Language: English - Date: 2014-12-15 16:02:52 Artificial intelligence Support vector machine Grid search Random forest Naive Bayes classifier K-nearest neighbor algorithm Binary classification Training set Statistics Machine learning Statistical classification
349	Body Segment Classification for Visible Human Cross Section Slices Zhiyun Xue, Sameer Antani, L. Rodney Long, Dina Demner-Fushman, George R. Thoma Lister Hill National Center for Biomedical Communications National Librar Add to Reading List Source URL: www.lhncbc.nlm.nih.gov Language: English - Date: 2015-01-17 22:17:18 Human anatomy Magnetic resonance imaging Naive Bayes classifier Thorax Cross-validation Tomography Weka Statistics X-ray computed tomography Visible Human Project
350	Evaluating Multi-label Classification of Incident-related Tweets Axel Schulz+ Eneldo Loza Mencía+ Thanh Tung Dang† Benedikt Schmidt Telecooperation Lab Technische Universität Darmstadt Germany Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-04-01 18:06:30 Classifier chains Multi-label classification Multiclass classification Support vector machine Precision and recall Document classification Linear classifier Naive Bayes classifier Categorization Statistics Statistical classification Machine learning

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