Blumer, Anselm; Ehrenfeucht, Andrzej; Haussler, David; Warmuth, Manfred K. Learnability and the Vapnik-Chervonenkis dimension. (English) Zbl 0697.68079 J. Assoc. Comput. Mach. 36, No. 4, 929-965 (1989). Cited in 5 ReviewsCited in 276 Documents MSC: 68T05 Learning and adaptive systems in artificial intelligence 68Q25 Analysis of algorithms and problem complexity 68T10 Pattern recognition, speech recognition 68R10 Graph theory (including graph drawing) in computer science Keywords:Vapnik-Chervonenkis dimension; geometrical problems and computations; probabilistic algorithms; concept learning; induction; learnability theory; learning from examples; Occam’s razor; PAC learning; sample complexity; Vapnik-Chervonenkis classes PDF BibTeX XML Cite \textit{A. Blumer} et al., J. Assoc. Comput. Mach. 36, No. 4, 929--965 (1989; Zbl 0697.68079) Full Text: DOI OpenURL