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Naive Bayes classifier
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81	Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2014-12-05 11:38:24 Econometrics Actuarial science Statistical classification Naive Bayes classifier Training set Logistic regression Overfitting Generalized linear model Supervised learning Statistics Regression analysis Machine learning
82	Automated, Highly-Accurate, Bug Assignment Using Machine Learning and Tossing Graphs Pamela Bhattacharyaa,∗, Iulian Neamtiua , Christian R. Sheltona a Department of Computer Science and Engineering, University of Cali Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2012-05-02 18:52:37 Statistical classification Software bug Bug tracking system Naive Bayes classifier Supervised learning Support vector machine Document classification C4.5 algorithm K-nearest neighbor algorithm Statistics Machine learning Artificial intelligence
83	Didacticiel - Études de cas Ricco Rakotomalala 1 Topic Data Mining with Scilab. Add to Reading List Source URL: eric.univ-lyon2.fr Language: English - Date: 2014-01-07 12:21:27 Statistical classification Mathematical software Machine learning Scilab MATLAB Confusion matrix Naive Bayes classifier Support vector machine Statistics Software Array programming languages
84	Hindawi Publishing Corporation Advances in Multimedia Volume 2013, Article ID, 22 pages http://dx.doi.orgResearch Article Add to Reading List Source URL: www.demcare.eu Language: English - Date: 2014-02-13 07:43:51 Co-training Support vector machine Supervised learning Margin classifier Semi-supervised learning Naive Bayes classifier Classifier Linear discriminant analysis Multiclass classification Statistics Statistical classification Machine learning
85	Machine Learning Exercises 6: Practical Assignment Due: December 13 (has been extended by one week) Rogier van het Schip Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2012-05-23 05:18:35 Decision trees Bayesian statistics Weka Statistical classification K-nearest neighbor algorithm Naive Bayes classifier ID3 algorithm Algorithm Nearest neighbour algorithm Machine learning Statistics Artificial intelligence
86	Debiasing Crowdsourced Batches Honglei Zhuang, Aditya Parameswaran, Dan Roth and Jiawei Han Department of Computer Science University of Illinois at Urbana-Champaign {hzhuang3, adityagp, danr, hanj}@illinois.edu Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2015-02-20 07:50:14 Expectation–maximization algorithm Missing data Sampling Naive Bayes classifier Algorithm Collection Statistics Theoretical computer science Estimation theory
87	Classifying Documents using Ruby Paul Dix http://www.pauldix.net Add to Reading List Source URL: pauldix.blogs.com Language: English - Date: 2008-08-28 10:03:24 Computational statistics Statistical classification Document classification Classifier Feature selection Random subspace method Naive Bayes classifier Statistics Machine learning Artificial intelligence
88	Supervised Machine Learning for Classifying Text with Ruby 1 Introduction 1.1 What are Classifiers In the world of text, classifiers or supervised machine learning is a method for assigning a class or category to textua Add to Reading List Source URL: pauldix.blogs.com Language: English - Date: 2008-08-28 10:03:30 Statistical classification Bayesian statistics Linear classifier Naive Bayes classifier K-nearest neighbor algorithm Document classification Support vector machine Perceptron Classifier Statistics Machine learning Artificial intelligence
89	A Language Model Approach to Spam Filtering Ben Medlock Cambridge University Computer Laboratory William Gates Building JJ Thomson Avenue Cambridge, CB3 OFD Add to Reading List Source URL: www.benmedlock.co.uk Language: English - Date: 2007-12-07 05:56:56 Spam filtering Computing Computational linguistics Statistical natural language processing N-gram Language model Naive Bayes classifier Pattern recognition Interpolation Natural language processing Statistics Science
90	TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visual)-Words Approaches Sebastian Schmiedeke, Pascal Kelm, and Thomas Sikora Communication Systems Group Technische Universität Berlin, Germany Add to Reading List Source URL: elvera.nue.tu-berlin.de Language: English - Date: 2012-10-08 09:05:50 Information retrieval Bayesian statistics Data analysis Principal component analysis Naive Bayes classifier Feature selection Support vector machine Tf*idf Statistics Statistical classification Multivariate statistics

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