Learning Boolean Concepts in the Presence of Many Irrelevant Features
暂无分享,去创建一个
[1] Wray L. Buntine. Myths and Legends in Learning Classification Rules , 1990, AAAI.
[2] Thomas G. Dietterich,et al. Learning with Many Irrelevant Features , 1991, AAAI.
[3] Thomas G. Dietterich,et al. Efficient Algorithms for Identifying Relevant Features , 1992 .
[4] Keinosuke Fukunaga,et al. A Branch and Bound Algorithm for Feature Subset Selection , 1977, IEEE Transactions on Computers.
[5] Ming Li,et al. Learning in the presence of malicious errors , 1993, STOC '88.
[6] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[7] Hussein Almuallim,et al. Concept coverage and its application to two learning tasks , 1992 .
[8] Anthony N. Mucciardi,et al. A Comparison of Seven Techniques for Choosing Subsets of Pattern Recognition Properties , 1971, IEEE Transactions on Computers.
[9] Tom M. Mitchell,et al. Generalization as Search , 2002 .
[10] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[11] Temple F. Smith. Occam's razor , 1980, Nature.
[12] Vasek Chvátal,et al. A Greedy Heuristic for the Set-Covering Problem , 1979, Math. Oper. Res..
[13] N. Littlestone. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[14] P. Laird. Learning from Good and Bad Data , 1988 .
[15] MANABU ICHINO,et al. Optimum feature selection by zero-one integer programming , 1984, IEEE Transactions on Systems, Man, and Cybernetics.
[16] Leslie G. Valiant,et al. A general lower bound on the number of examples needed for learning , 1988, COLT '88.
[17] Salvatore D. Morgera. COMPUTATIONAL COMPLEXITY AND VLSI IMPLEMENTATION OF AN OPTIMAL FEATURE SELECTION STRATEGY , 1986 .