A novel Markov boundary based feature subset selection algorithm
暂无分享,去创建一个
[1] Richard E. Neapolitan,et al. Learning Bayesian networks , 2007, KDD '07.
[2] Constantin F. Aliferis,et al. The max-min hill-climbing Bayesian network structure learning algorithm , 2006, Machine Learning.
[3] Jesper Tegnér,et al. Consistent Feature Selection for Pattern Recognition in Polynomial Time , 2007, J. Mach. Learn. Res..
[4] P. Spirtes,et al. Causation, prediction, and search , 1993 .
[5] Jesper Tegnér,et al. Towards scalable and data efficient learning of Markov boundaries , 2007, Int. J. Approx. Reason..
[6] Isabelle Guyon,et al. Design and Analysis of the Causation and Prediction Challenge , 2008, WCCI Causation and Prediction Challenge.
[7] David Maxwell Chickering,et al. Large-Sample Learning of Bayesian Networks is NP-Hard , 2002, J. Mach. Learn. Res..
[8] Ethem Alpaydin,et al. Handling of Deterministic Relationships in Constraint-based Causal Discovery , 2002, European Workshop on Probabilistic Graphical Models.
[9] Constantin F. Aliferis,et al. Algorithms for Large Scale Markov Blanket Discovery , 2003, FLAIRS.
[10] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[11] Shunkai Fu,et al. Tradeoff Analysis of Different Markov Blanket Local Learning Approaches , 2008, PAKDD.
[12] Alex Aussem,et al. A Novel Scalable and Data Efficient Feature Subset Selection Algorithm , 2008, ECML/PKDD.
[13] Laura E. Brown,et al. Bounding the False Discovery Rate in Local Bayesian Network Learning , 2008, AAAI.
[14] Dimitris Margaritis,et al. Speculative Markov blanket discovery for optimal feature selection , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[15] Laura E. Brown,et al. A Strategy for Making Predictions Under Manipulation , 2008, WCCI Causation and Prediction Challenge.
[16] Alex Aussem,et al. Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification , 2008, ESANN.