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Naive Bayes classifier
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#	Item
351	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: lhncbc.nlm.nih.gov Language: English - Date: 2015-01-17 18:35:38 Human anatomy Magnetic resonance imaging Naive Bayes classifier Thorax Cross-validation Tomography Weka Statistics X-ray computed tomography Visible Human Project
352	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
353	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
354	Data Mining I Classification Workflow with Rapidminer Universität Mannheim – Bizer/Meusel/Lehmberg: Data Mining I – FSS2014 (Version: [removed]) – Slide 1 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:26 Data analysis Data mining RapidMiner Cross-validation Support vector machine Naive Bayes classifier Statistics Machine learning Statistical classification
355	Detecting Corporate Fraud: An Application of Machine Learning Ophir Gottlieb, Curt Salisbury, Howard Shek, Vishal Vaidyanathan December 15, 2006 ABSTRACT niques for this purpose. Algorithms for automatated detection of Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2011-09-14 20:33:07 Support vector machine Naive Bayes classifier Regression analysis Logistic regression Feature selection Machine learning Predictive analytics Book:Machine Learning - The Complete Guide Statistics Statistical classification Linear classifier
356	Data Mining I Classification Workflow with Rapidminer Universität Mannheim – Paulheim/Bryl/Meusel/Lehmberg: Data Mining I – HWS2014 (Version: [removed]) – Slide 1 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:33 Data analysis Data mining RapidMiner Cross-validation Support vector machine Naive Bayes classifier Statistics Machine learning Statistical classification
357	Popular Books and Linked Data: Some Results for the ESWC’14 RecSys Challenge Michael Schuhmacher, Christian Meilicke Research Group Data and Web Science, University of Mannheim {michael,christian}@informatik.uni-mannhe Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:09 Collective intelligence Semantic Web World Wide Web Statistical classification Science Recommender system Collaborative filtering Naive Bayes classifier Cold start Statistics Information science Machine learning
358	Computer-based Content Analysis ¨ Johannes Knopp, Cacilia Zirn Knowledge Representation and Knowledge Management Research Group School of Business Informatics and Mathematics Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:41:52 Supervised learning Statistical classification K-nearest neighbor algorithm Unsupervised learning Support vector machine Naive Bayes classifier Pattern recognition Book:Machine Learning - The Complete Guide Machine learning Statistics Artificial intelligence
359	SPEAKER-INDEPENDENT DETECTION OF CHILD-DIRECTED SPEECH Sebastian Schuster†, Stephanie Pancoast‡, Milind Ganjoo†, Michael C .Frank°, Dan Jurafsky3† † Department of Computer Science, Stanford University, Stanf Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-11-10 13:12:19 Parts of speech Binary classification Support vector machine Classifier Naive Bayes classifier Gain Boosting methods for object categorization Statistics Statistical classification Machine learning
360	Improving Biomedical Text Categorisation with NLP Michael Matthews Informatics Department, University of Edinburgh, Buccleuch Place,Edinburgh, UK Email: [removed]; Abstract Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Bioinformatics Statistics Proteomics Data mining Natural language processing Biomedical text mining Naive Bayes classifier Protein–protein interaction Text mining Science Biology Computational linguistics

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