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Naive Bayes classifier
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1	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
2	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE, Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-02-24 06:09:18 Statistical classification Statistics Data Classifier chains Multi-label classification Multiclass classification Support vector machine Probabilistic classification Classifier Naive Bayes classifier K-nearest neighbors algorithm
3	Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-04-26 02:11:02 Statistics Statistical classification Multivariate statistics Naive Bayes classifier Bayesian network Feature selection Bayes classifier Dependent and independent variables Machine learning Supervised learning K-nearest neighbors algorithm
4	A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A. Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-08-13 22:08:12 Machine learning Artificial intelligence Statistical classification Learning Ensemble learning Cybernetics Boosting Support vector machine Linear classifier Naive Bayes classifier Online machine learning Generalization error
5	Streaming Multi-label Classification Jesse Read† , Albert Bifet, Geoff Holmes, Bernhard Pfahringer University of Waikato, Hamilton, New Zealand † Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2011-10-17 14:24:14 Statistical classification Multi-label classification Classifier chains Support vector machine Naive Bayes classifier Classification Cognition
6	Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g Add to Reading List Source URL: www.matmidia.mat.puc-rio.br Language: English - Date: 2009-12-09 18:55:18 Statistical classification Learning Data Cognition Support vector machine Classifier Margin classifier K-nearest neighbors algorithm Supervised learning Naive Bayes classifier Machine learning
7	On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Machine learning Learning Artificial intelligence Statistics Multi-label classification Support vector machine Naive Bayes classifier AdaBoost Binary classification Classifier chains Multiclass classification
8	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier
9	“Why Should I Trust You?” Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Add to Reading List Source URL: sameersingh.org Language: English - Date: 2016-08-18 16:00:00 Machine learning Statistical classification Statistics Artificial intelligence Learning Support vector machine Recommender system K-nearest neighbors algorithm Naive Bayes classifier Pattern recognition Cross-validation Classifier
10	Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Statistics Statistical classification Statistical theory Regression analysis Estimation theory Actuarial science Belief propagation Naive Bayes classifier Logistic regression Exponential family Variational Bayesian methods KullbackLeibler divergence

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