INFORMATION GAIN FEATURE SELECTION BASED ON FEATURE INTERACTIONS
暂无分享,去创建一个
[1] S. Kotsiantis. Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.
[2] Sreerama K. Murthy,et al. Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey , 1998, Data Mining and Knowledge Discovery.
[3] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.
[4] Mario Kolberg,et al. Feature interaction: a critical review and considered forecast , 2003, Comput. Networks.
[5] Sanmay Das,et al. Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection , 2001, ICML.
[6] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[7] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[8] Mark A. Hall,et al. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.
[9] Dorian Pyle,et al. Data Preparation for Data Mining , 1999 .
[10] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[11] Thomas G. Dietterich,et al. Learning Boolean Concepts in the Presence of Many Irrelevant Features , 1994, Artif. Intell..
[12] R. Tibshirani,et al. An Introduction to the Bootstrap , 1995 .
[13] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[14] R. A. Leibler,et al. On Information and Sufficiency , 1951 .