On the Optimality of the Simple Bayesian Classifier under Zero-One Loss (1997)

by Pedro Domingos , Michael Pazzani
Citations:486 - 20 self

Active Bibliography

9 Discretization for naive-Bayes learning: managing discretization bias and variance – Ying Yang, Geoffrey I. Webb - 2003
1 To Select or To Weigh: A Comparative Study of Linear Combination Schemes for – Superparent-one-dependence Estimators, Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin Korb, Janice Boughton, Kai Ming Ting
7 To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators – Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin Korb, Janice Boughton, Kai Ming Ting
8 On Why Discretization Works for Naive-Bayes Classifiers – Ying Yang, Geoff I. Webb - 2003
12 Naive Bayes for regression – Eibe Frank, Leonard Trigg, Geoffrey Holmes, Ian H. Witten, W. Aha - 2000
451 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
253 Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier – Pedro Domingos, Michael Pazzani
45 Improving Simple Bayes – Ron Kohavi , Barry Becker, Dan Sommerfield - 1997
MLC++ Utilities 2.0 – Ronny Kohavi, Dan Sommerfield - 1996
19 Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees – Zijian Zheng , Geoffrey I. Webb, Kai Ming Ting - 1999
5 Supervised classification with conditional gaussian networks: Increasing the structure complexity from naive bayes – Aritz Pérez, Pedro Larrañaga, Iñaki Inza
33 Lazy Learning of Bayesian Rules – Zijian Zheng, Geoffrey I. Webb - 2000
42 An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning – Philip Kin-Wah Chan - 1996
94 Wrappers For Performance Enhancement And Oblivious Decision Graphs – Ron Kohavi, Yoav Shoham, Jerry Friedman - 1995
7 Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers – Ying Yang, Geoffrey I. Webb - 2003
775 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
21 Adjusted probability naive Bayesian induction – Geoffrey I. Webb, Michael J. Pazzani - 1998
8 Learning Probabilistic Models of Word Sense Disambiguation – Ted Pedersen - 1998
23 Knowledge Discovery Via Multiple Models – Pedro Domingos - 1998