Distribution of mutual information from complete and incomplete data
暂无分享,去创建一个
[1] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[2] R. Fisher. The Advanced Theory of Statistics , 1943, Nature.
[3] Irene A. Stegun,et al. Handbook of Mathematical Functions. , 1966 .
[4] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[5] Solomon Kullback,et al. Information Theory and Statistics , 1970, The Mathematical Gazette.
[6] David G. Stork,et al. Pattern Classification , 1973 .
[7] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[8] S. Fienberg,et al. Two-Dimensional Contingency Tables with Both Completely and Partially Cross-Classified Data , 1974 .
[9] Nils J. Nilsson,et al. Artificial Intelligence , 1974, IFIP Congress.
[10] Peter E. Hart,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[11] S. Fienberg,et al. The Analysis of Contingency Tables with Incompletely Classified Data , 1976 .
[12] Editors , 1986, Brain Research Bulletin.
[13] William H. Press,et al. Book-Review - Numerical Recipes in Pascal - the Art of Scientific Computing , 1989 .
[14] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[15] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[16] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[17] David D. Lewis,et al. Feature Selection and Feature Extraction for Text Categorization , 1992, HLT.
[18] William H. Press,et al. Numerical recipes in C++: the art of scientific computing, 2nd Edition (C++ ed., print. is corrected to software version 2.10) , 1994 .
[19] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[20] Ron Kohavi,et al. MLC++: a machine learning library in C++ , 1994, Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94.
[21] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[22] Ron Kohavi,et al. Irrelevant Features and the Subset Selection Problem , 1994, ICML.
[23] David R. Wolf,et al. Estimating functions of probability distributions from a finite set of samples. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[24] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[25] Nils J. Nilsson,et al. MLC++, A Machine Learning Library in C++. , 1995 .
[26] Wray L. Buntine. A Guide to the Literature on Learning Probabilistic Networks from Data , 1996, IEEE Trans. Knowl. Data Eng..
[27] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[28] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[29] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[30] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[31] Ron Kohavi,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998 .
[32] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[33] Gernot D. Kleiter,et al. The posterior probability of Bayes nets with strong dependences , 1999, Soft Comput..
[34] Georgios Paliouras,et al. An evaluation of Naive Bayesian anti-spam filtering , 2000, ArXiv.
[35] Ian Witten,et al. Data Mining , 2000 .
[36] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .
[37] Marcus Hutter,et al. Distribution of Mutual Information , 2001, NIPS.
[38] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[39] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[40] Andrew W. Moore,et al. Using Tarjan's Red Rule for Fast Dependency Tree Construction , 2002, NIPS.
[41] Marco Zaffalon,et al. Robust Feature Selection by Mutual Information Distributions , 2002, UAI.
[42] David Page,et al. KDD Cup 2001 report , 2002, SKDD.
[43] Marco Zaffalon,et al. Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection , 2003, KI.
[44] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[45] Pedro M. Domingos,et al. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.
[46] Marco Zaffalon,et al. Robust inference of trees , 2005, Annals of Mathematics and Artificial Intelligence.
[47] Richard E. Neapolitan,et al. Learning Bayesian networks , 2007, KDD '07.