Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier

Keywords

Computer science, Bayesian probability, Artificial intelligence, Simple (philosophy), Independence (probability theory)

References

• Wrappers for performance enhancement and oblivious decision graphsRon Kohavi — 1995
• Pattern classification and scene analysisY.P. Chien — 1974
• UCI Repository of machine learning databasesCatherine Blake — 1998
• C4.5: Programs for Machine LearningJ. R. Quinlan — 1992
• UCI Repository of Machine Learning DatabasesChristopher J. Merz — 1996
• Induction of Selective Bayesian ClassifiersPat Langley, Stephanie Sage — 1994
• Induction of Recursive Bayesian ClassifiersP. Langley — 1993
• Supervised and Unsupervised Discretization of Continuous FeaturesJ. Dougherty, Ron Kohavi, M. Sahami — 1995
• Towards a Better Understanding of Memory-based Reasoning SystemsJohn Rachlin, S. Kasif, S. Salzberg — 1994
• Rule Induction with CN2: Some Recent ImprovementsPeter Clark, Robin Boswell — 1991
• Semi-Naive Bayesian ClassifierI. Kononenko — 1991

Cited by

• Learning to rank by maximizing the AUC with linear programming for problems with binary outputKaan Ataman — 2007
• Integrating Lexical Knowledge in Learning-Based Text CategorizationManuel de Buenaga Rodr ́ iguez, Luís Alfonso, M arTeresa MartValdivia — 2002
• CALI: An Online Scribble Recognizer for Calligraphic InterfacesManuel J. Fonseca, Joaquim Jorge — 2002
• ROSETTA Technical Reference ManualAleksander Øhrn — 2001
• A Fast Decision Tree Learning AlgorithmSu Jiang, Harry Zhang — 2006
• Profiler-2000: Attacking the Insider ThreatRoy A. Maxion, Kymie Tan, S. S. Killourhy — 2005
• A tool to support the identification of suspect cases of exotic diseases in cattle.Corinne Bergeron — 2016
• Machine Learning for Natural Language ProcessingMartin Emms — 2011
• An Implementation of Pan-So-Ri Classification Program Using Naive Bayesian ClassifierWonjong Kim, Kangbok Lee, Myung-Gwan Kim — 2011
• Classification of Churn,Upselling and Appetency for KDD Cup 2009Nupur Garg, Puneet Lakhina, Gaurav Mehta — 2009
• DutchParl. The Parliamentary Documents in DutchM. Marx, Anne Schuth — 2010
• Using genetic feature selection for improving cyber attack detection rateChi Hoon Lee, Doo Hyung Lee, Jin Wook Chung — 2007
• Revising User Profiles: The Search for Interesting Web SitesDaniel Billsus, Michael J. Pazzani — 1996
• A Heuristic Lazy Bayesian Rule AlgorithmZhihai Wang, Geoffrey I. Webb — 2002
• Meeting user information needs in recommender systemsJoseph A. Konstan, Sean M. McNee — 2006
• On learning hierarchical classificationsRussell Greiner, Adam Grove, Dale Schuurmans — 2007
• Averaged One-Dependence Estimators: Preliminary ResultsGeoffrey I. Webb, Janice R. Boughton, Zhihai Wang — 2002
• Pool-Based Active Learning for Text ClassificationKamal Nigam, Andrew McCallum — 1999
• State Space Reduction For Hierarchical Reinforcement LearningMehran Asadi, Manfred Huber — 2004
• Data Mining for Direct Marketing: Problems and SolutionsCharles X. Ling, LI Cheng-hui — 1998

Related papers

• Induction of Decision TreesJ. R. Quinlan — 1986
• On the Optimality of the Simple Bayesian Classifier under Zero-One LossPedro Domingos, Michael J. Pazzani — 1997
• C4.5: Programs for Machine LearningJ. R. Quinlan — 1992
• UCI Repository of machine learning databasesCatherine Blake — 1998
• Bayesian Network ClassifiersNir Friedman, Dan Geiger, Moisés Goldszmidt — 1997
• A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model SelectionRon Kohavi — 1995
• An Analysis of Bayesian ClassifiersPat Langley, and Wayne Iba, Kevin Thompson — 1992
• Multi-Interval Discretization of Continuous-Valued Attributes for Classification LearningUsama M. Fayyad, Keki B. Irani — 1993