Missing values prediction with K2
暂无分享,去创建一个
[1] J. Ross Quinlan,et al. Unknown Attribute Values in Induction , 1989, ML.
[2] Finn Verner Jensen,et al. Introduction to Bayesian Networks , 2008, Innovations in Bayesian Networks.
[3] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[4] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.
[5] V. Didelez,et al. Maximum likelihood estimation in graphical models with missing values , 1998 .
[6] D. Rubin. Multiple imputation for nonresponse in surveys , 1989 .
[7] Michael P. Wellman,et al. Real-world applications of Bayesian networks , 1995, CACM.
[8] Gregory F. Cooper,et al. A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.
[9] D. Rubin. Formalizing Subjective Notions about the Effect of Nonrespondents in Sample Surveys , 1977 .
[10] David J. Spiegelhalter,et al. Sequential updating of conditional probabilities on directed graphical structures , 1990, Networks.
[11] Nir Friedman,et al. Learning Belief Networks in the Presence of Missing Values and Hidden Variables , 1997, ICML.
[12] Ivan Bratko,et al. Experiments in automatic learning of medical diagnostic rules , 1984 .
[13] Ron Kohavi,et al. Lazy Decision Trees , 1996, AAAI/IAAI, Vol. 1.
[14] Paola Sebastiani,et al. Bayesian Inference with Missing Data Using Bound and Collapse , 2000 .
[15] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[16] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[17] Geoffrey I. Webb,et al. Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees , 1999, PAKDD.
[18] Zijian Zheng,et al. Classifying Unseen Cases with Many Missing Values , 1999, PAKDD.
[19] Max Bramer,et al. Techniques for Dealing with Missing Values in Classification , 1997, IDA.
[20] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[21] S. Lauritzen. The EM algorithm for graphical association models with missing data , 1995 .
[22] José Manuel Gutiérrez,et al. Expert Systems and Probabiistic Network Models , 1996 .
[23] M. Degroot. Optimal Statistical Decisions , 1970 .
[24] Ivan Bratko,et al. ASSISTANT 86: A Knowledge-Elicitation Tool for Sophisticated Users , 1987, EWSL.
[25] O. O. Lobo,et al. Ordered Estimation of Missing Values for Propositional Learning , 2000 .
[26] Ron Kohavi,et al. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid , 1996, KDD.
[27] Walter R. Gilks,et al. Strategies for improving MCMC , 1995 .
[28] Pedro M. Domingos,et al. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , 1997, Machine Learning.
[29] Wai Lam,et al. LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE , 1994, Comput. Intell..
[30] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[31] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[32] A. P. White,et al. Probabilistic induction by dynamic part generation in virtual trees , 1987 .
[33] Geoffrey I. Webb,et al. Stochastic Attribute Selection Committees , 1998, Australian Joint Conference on Artificial Intelligence.
[34] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[35] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .