作者: Anselm Blumer , Andrzej Ehrenfeucht , David Haussler , Manfred K. Warmuth
DOI: 10.1016/0020-0190(87)90114-1
关键词: Simplicity 、 Boolean function 、 Polynomial 、 Sequence 、 Inductive reasoning 、 Mathematics 、 Occam's razor 、 Regular language 、 Algorithm 、 Combinatorics 、 Existential quantification
摘要: Abstract We show that a polynomial learning algorithm, as defined by Valiant (1984), is obtained whenever there exists polynomial-time method of producing, for any sequence observations, nearly minimum hypothesis consistent with these observations.