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Naive Bayes classifier
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#	Item
221	Alleviating Data Sparsity for Twitter Sentiment Analysis Hassan Saif Knowledge Media Institute The Open University Milton Keynes, MK7 6AA, UK Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-03-29 15:24:10 Science World Wide Web Sentiment analysis Twitter Semantic Web Naive Bayes classifier Semantic mapping Machine learning Natural language processing Statistics Computational linguistics
222	20 STATISTICAL LEARNING METHODS In which we view learning as a form of uncertain reasoning from observations. Add to Reading List Source URL: aima.cs.berkeley.edu Language: English - Date: 2002-11-14 11:01:47 Estimation theory Maximum likelihood Likelihood-ratio test Naive Bayes classifier Bayesian inference Conjugate prior Minimum description length Bayesian network Marginal likelihood Statistics Bayesian statistics Statistical theory
223	Technical info & System Requirements perClass Technical information ! Add to Reading List Source URL: www.perclass.com Language: English - Date: 2014-12-18 09:55:14 Naive Bayes classifier Support vector machine AdaBoost Learning classifier system Statistics Statistical classification Machine learning
224	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
225	A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning Massih R. Amini Laboratoire d’Informatique de Paris 6 Universit´e Pierre et Marie Curie, Paris, France Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:33 Semi-supervised learning Supervised learning Support vector machine Bayes estimator Naive Bayes classifier Gaussian function Statistics Machine learning Statistical classification
226	International Journal of Computer Networks & Communications (IJCNC) Vol.4, No.3, May[removed]AUTOMATED INFERENCE SYSTEM FOR END-TOEND DIAGNOSIS OF NETWORK PERFORMANCE ISSUES IN CLIENT-TERMINAL DEVICES Chathuranga Widanapat Add to Reading List Source URL: airccse.org Language: English - Date: 2012-05-31 07:36:07 Binary classification Transmission Control Protocol Support vector machine Naive Bayes classifier Packet loss Statistics Statistical classification Machine learning
227	Using Diverse Information Sources to Retrieve Samples of Low-Density Languages Andrew MacKinlay Department of Computer Science and Software Engineering University of Melbourne Parkville VIC 3051 Australia Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2006-02-22 22:07:58 Statistics Natural language processing Searching Computational linguistics Web search query Precision and recall Search engine indexing Document classification Naive Bayes classifier Information science Science Information retrieval
228	general_known_unknown_multiclass.dvi Add to Reading List Source URL: titania.ctie.monash.edu.au Language: English - Date: 2013-10-10 19:10:39 Artificial intelligence Naive Bayes classifier Confusion matrix Transmission Control Protocol Statistics Machine learning Statistical classification
229	SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification Michael Gutkin1, Ron Shamir1, Gideon Dror2 1 Blavatnik school of Computer Science, Tel Aviv University, Tel Aviv, Israel, 2 School Add to Reading List Source URL: www2.mta.ac.il Language: English* - Date: 2010-08-18 18:53:13 Support vector machine Naive Bayes classifier Classifier Binary classification Supervised learning Feature selection Linear discriminant analysis Cross-validation Random subspace method Statistics Machine learning Statistical classification
230	Learning-Based Summarisation of XML Documents Massih R. Amini† Anastasios Tombros∗ Nicolas Usunier† Mounia Lalmas∗ † {name}@poleia.lip6.fr University Pierre and Marie Curie Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2013-02-27 04:55:26 Statistical classification Computational linguistics Natural language processing Automatic summarization Data mining Ensemble learning Linear classifier Naive Bayes classifier XML Machine learning Statistics Computing

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