Introduction to Minimum Encoding Inference
暂无分享,去创建一个
[1] J. Rissanen. A UNIVERSAL PRIOR FOR INTEGERS AND ESTIMATION BY MINIMUM DESCRIPTION LENGTH , 1983 .
[2] C. S. Wallace,et al. A General Selection Criterion for Inductive Inference , 1984, ECAI.
[3] Daniel S. Hirschberg,et al. Data compression , 1987, CSUR.
[4] Aiko M. Hormann,et al. Programs for Machine Learning. Part I , 1962, Inf. Control..
[5] Jonathan J. Oliver. Decision Graphs - An Extension of Decision Trees , 1993 .
[6] Ronald L. Rivest,et al. Inferring Decision Trees Using the Minimum Description Length Principle , 1989, Inf. Comput..
[7] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[8] Rohan A. Baxter,et al. MML and Bayesianism: similarities and differences: introduction to minimum encoding inference Part , 1994 .
[9] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[10] D. Dowe,et al. Model selection in linear regression using the MML criterion , 1994, DCC 1994.
[11] Chris S. Wallace,et al. A Program for Numerical Classification , 1970, Comput. J..
[12] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[13] C. S. Wallace,et al. Estimation and Inference by Compact Coding , 1987 .
[14] Gregory J. Chaitin,et al. Information-Theoretic Computational Complexity , 1974 .
[15] C. S. Wallace,et al. Classification by Minimum-Message-Length Inference , 1991, ICCI.
[16] Jonathan J. Oliver,et al. MDL and MML: Similarities and differences , 1994 .