Reliable Reasoning: Induction and Statistical Learning Theory
- ISBN13:9780262083607
- 出版社:Bradford Books
- 作者:Gilbert Harman; Sanjeev Kulkarni
- 裝訂/頁數:精裝/120頁
- 出版日:2007/03/30
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After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning, describing fundamental results about the power and limits of those methods in terms of the VC dimension of the hypotheses being considered. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and offer possible new models of human reasoning suggested by developments in SLT.
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