Decision boundary for discrete Bayesian network classifiers
暂无分享,去创建一个
[1] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[2] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[3] Mark A. Peot,et al. Geometric Implications of the Naive Bayes Assumption , 1996, UAI.
[4] Concha Bielza,et al. Discrete Bayesian Network Classifiers , 2014, ACM Comput. Surv..
[5] Norbert Sauer,et al. On the Density of Families of Sets , 1972, J. Comb. Theory, Ser. A.
[6] Kenneth E. Iverson,et al. A programming language , 1899, AIEE-IRE '62 (Spring).
[7] Charles X. Ling,et al. The Representational Power of Discrete Bayesian Networks , 2002, J. Mach. Learn. Res..
[8] A. Hasman,et al. Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .
[9] Dr. M. G. Worster. Methods of Mathematical Physics , 1947, Nature.
[10] Hans Ulrich Simon,et al. Inner Product Spaces for Bayesian Networks , 2005, J. Mach. Learn. Res..
[11] Giovanni Pistone,et al. Gröbner bases and factorisation in discrete probability and Bayes , 2001, Stat. Comput..
[12] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[13] Mark A. Hall,et al. A decision tree-based attribute weighting filter for naive Bayes , 2006, Knowl. Based Syst..
[14] Chi Wang,et al. The threshold order of a Boolean function , 1991, Discret. Appl. Math..
[15] Manfred Jaeger,et al. Probabilistic Classifiers and the Concepts They Recognize , 2003, ICML.
[16] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[17] Geoffrey I. Webb,et al. Adjusted Probability Naive Bayesian Induction , 1998, Australian Joint Conference on Artificial Intelligence.
[18] Geoffrey I. Webb,et al. Alleviating naive Bayes attribute independence assumption by attribute weighting , 2013, J. Mach. Learn. Res..
[19] Yan Wu,et al. On the properties of concept classes induced by multivalued Bayesian networks , 2012, Inf. Sci..
[20] Pedro M. Domingos,et al. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.
[21] Milton Abramowitz,et al. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .
[22] L. Flatto. A NEW PROOF OF THE TRANSPOSITION THEOREM , 1970 .
[23] Ryan O'Donnell,et al. New degree bounds for polynomial threshold functions , 2010, Comb..
[24] Eamonn J. Keogh,et al. Learning the Structure of Augmented Bayesian Classifiers , 2002, Int. J. Artif. Intell. Tools.