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Naive Bayes classifier
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71	Classifier-Adjusted Density Estimation for Anomaly Detection and One-Class Classification Lisa Friedland∗ Amanda Gentzel∗ Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2014-02-13 14:01:13 Statistics Machine learning Statistical classification Data mining Nonparametric statistics Local outlier factor Anomaly detection Outlier K-nearest neighbors algorithm Naive Bayes classifier Kernel density estimation Supervised learning
72	Using old Spam and Ham Samples to Train Email Filters Jose-Marcio Martins da Cruz Gordon V. Cormack Centre de Calcul et Systemes d’Information Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2009-05-28 18:49:40 Spam filtering Spamming Computing Cyberspace Email spam Anti-spam techniques Spam Bogofilter Naive Bayes classifier Naive Bayes spam filtering
73	A Balanced Approach to Health Information Evaluation: A Vocabulary-Based Naïve Bayes Classifier and Readability Formulas Gondy Leroy and Trudi Miller School of Information Systems and Technology, Claremont Graduate Univ Add to Reading List Source URL: web.cgu.edu Language: English - Date: 2009-04-21 21:00:09
74	Information Retrieval: Assignment 4 Problempoints) Based on the data below, estimate a multinomial Naive Bayes classifier (the type of NB classifier we introduced in class) and apply the classifier to the test do Add to Reading List Source URL: www.cis.lmu.de Language: English - Date: 2013-06-17 05:39:20
75	Naive Bayes Classifier A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes’ theorem with strong (naive) independence assumptions. It assumes the conditional idependence of attribute va Add to Reading List Source URL: kt.ijs.si Language: English - Date: 2008-10-22 06:22:20
76	PDF Document Add to Reading List Source URL: www.josephsmarr.com Language: English - Date: 2007-09-05 22:15:00 Computational linguistics Machine learning Natural language processing Statistical classification Parts of speech N-gram Naive Bayes classifier Word-sense disambiguation Named-entity recognition Classifier Supervised learning Cross-validation
77	An Empirical Comparison of Supervised Learning Algorithms Rich Caruana Alexandru Niculescu-Mizil Department of Computer Science, Cornell University, Ithaca, NYUSA Add to Reading List Source URL: www.niculescu-mizil.org Language: English - Date: 2008-11-22 14:04:17 Ensemble learning Bayesian statistics Neural networks Supervised learning Support vector machine Naive Bayes classifier Boosting Random forest Calibration Statistics Machine learning Statistical classification
78	The International Journal of Robotics Research http://ijr.sagepub.com FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance Mark Cummins and Paul Newman Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2008-06-05 17:09:37 Stochastic processes Cluster analysis Mixture model Hidden Markov model Naive Bayes classifier Variational Bayesian methods Random walk Causality Kullback–Leibler divergence Statistics Bayesian statistics Markov models
79	Hybrid Generative-Discriminative Visual Categorization. Alex D. Holub1 , Max Welling2 , Pietro Perona1 1 2 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-06-11 23:04:34 Fisher kernel Generative model Discriminative model Supervised learning Constellation model Support vector machine Kernel methods Generative Naive Bayes classifier Statistics Machine learning Statistical classification
80	Verifying the fully “Laplacianised” posterior Naïve Bayesian approach and more Add to Reading List Source URL: www.jcheminf.com Language: English Bayesian statistics Naive Bayes classifier Learning classifier system Classifier Feature selection Statistics Statistical classification Machine learning

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