QUANTIFYING INDUCTIVE BIAS - AI LEARNING ALGORITHMS AND VALIANTS LEARNING FRAMEWORK

被引:203
作者
HAUSSLER, D
机构
关键词
D O I
10.1016/0004-3702(88)90002-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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页码:177 / 221
页数:45
相关论文
共 46 条
  • [1] ANGLUIN A, 1988, MACHINE LEARNING, V2, P319
  • [2] Angluin D., 1988, Machine Learning, V2, P343, DOI 10.1023/A:1022873112823
  • [4] OCCAM RAZOR
    BLUMER, A
    EHRENFEUCHT, A
    HAUSSLER, D
    WARMUTH, MK
    [J]. INFORMATION PROCESSING LETTERS, 1987, 24 (06) : 377 - 380
  • [5] BLUMER A, IN PRESS J ACM
  • [6] Bruner J. (., 1956, STUDY THINKING
  • [7] AN ANALYTICAL COMPARISON OF SOME RULE-LEARNING PROGRAMS
    BUNDY, A
    SILVER, B
    PLUMMER, D
    [J]. ARTIFICIAL INTELLIGENCE, 1985, 27 (02) : 137 - 181
  • [8] Chvatal V., 1979, Mathematics of Operations Research, V4, P233, DOI 10.1287/moor.4.3.233
  • [9] DIETTERICH TG, 1983, MACHINE LEARNING ART, P41
  • [10] EHRENFEUCHT A, IN PRESS INF COMPUT