bnclassify: Learning Bayesian Network Classifiers
暂无分享,去创建一个
[1] Gregory F. Cooper,et al. The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..
[2] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[3] M. Pazzani. Constructive Induction of Cartesian Product Attributes , 1998 .
[4] Krzysztof J. Cios,et al. Bayesian learning for cardiac SPECT image interpretation , 2002, Artif. Intell. Medicine.
[5] Geoffrey I. Webb,et al. Efficient parameter learning of Bayesian network classifiers , 2016, Machine Learning.
[6] Gregory F. Cooper,et al. Exact model averaging with naive Bayesian classifiers , 2002, ICML.
[7] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.
[8] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[9] Franz Pernkopf,et al. Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers , 2010, J. Mach. Learn. Res..
[10] Eamonn J. Keogh,et al. Learning the Structure of Augmented Bayesian Classifiers , 2002, Int. J. Artif. Intell. Tools.
[11] Manfred Jaeger. Probabilistic Classifiers and the Concepts They Recognize , 2003, ICML.
[12] David A. Bell,et al. Learning Bayesian networks from data: An information-theory based approach , 2002, Artif. Intell..
[13] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[14] D. Hand,et al. Idiot's Bayes—Not So Stupid After All? , 2001 .
[15] Scott T. Weiss,et al. CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous Data , 2014, PLoS Comput. Biol..
[16] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .
[17] Max Kuhn,et al. Building Predictive Models in R Using the caret Package , 2008 .
[18] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[19] Sebastian Thrun,et al. Bayesian Network Induction via Local Neighborhoods , 1999, NIPS.
[20] Søren Højsgaard,et al. Graphical Independence Networks with the gRain Package for R , 2012 .
[21] Manuel Laguna,et al. Tabu Search , 1997 .
[22] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[23] Marco Scutari,et al. Learning Bayesian Networks with the bnlearn R Package , 2009, 0908.3817.
[24] Geoffrey I. Webb,et al. Not So Naive Bayes: Aggregating One-Dependence Estimators , 2005, Machine Learning.
[25] Concha Bielza,et al. Discrete Bayesian Network Classifiers , 2014, ACM Comput. Surv..
[26] Pedro M. Domingos,et al. Learning Bayesian network classifiers by maximizing conditional likelihood , 2004, ICML.
[27] Constantin F. Aliferis,et al. Algorithms for Large Scale Markov Blanket Discovery , 2003, FLAIRS.
[28] Susanne Bottcher,et al. Learning Bayesian networks with mixed variables , 2001, AISTATS.
[29] Remco R. Bouckaert,et al. Bayesian network classifiers in Weka , 2004 .
[30] Geoffrey I. Webb,et al. Alleviating naive Bayes attribute independence assumption by attribute weighting , 2013, J. Mach. Learn. Res..
[31] Mehran Sahami,et al. Learning Limited Dependence Bayesian Classifiers , 1996, KDD.
[32] Franz Pernkopf,et al. Floating search algorithm for structure learning of Bayesian network classifiers , 2003, Pattern Recognit. Lett..
[33] Teemu Roos,et al. Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood , 2011, J. Mach. Learn. Res..
[34] Constantin F. Aliferis,et al. Towards Principled Feature Selection: Relevancy, Filters and Wrappers , 2003, AISTATS.
[35] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[36] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[37] Mark A. Hall,et al. A decision tree-based attribute weighting filter for naive Bayes , 2006, Knowl. Based Syst..
[38] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[39] Geoffrey I. Webb,et al. Efficient lazy elimination for averaged one-dependence estimators , 2006, ICML.
[40] David Maxwell Chickering,et al. Large-Sample Learning of Bayesian Networks is NP-Hard , 2002, J. Mach. Learn. Res..
[41] Concha Bielza,et al. Decision boundary for discrete Bayesian network classifiers , 2015, J. Mach. Learn. Res..
[42] N. Wermuth,et al. Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative , 1989 .
[43] R. Bouckaert. Bayesian belief networks : from construction to inference , 1995 .
[44] H. Akaike. A new look at the statistical model identification , 1974 .
[45] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.