Path: utzoo!utgpu!jarvis.csri.toronto.edu!clyde.concordia.ca!uunet!mailrus!tut.cis.ohio-state.edu!unmvax!ariel!wayback.unm.edu!bill From: bill@wayback.unm.edu (william horne) Newsgroups: comp.ai.neural-nets Subject: Re: Computational Learning (intro needed) Keywords: Reference for Book Message-ID: <1546@ariel.unm.edu> Date: 8 Feb 90 19:45:09 GMT References: <689@h.cs.wvu.wvnet.edu> <2937@bingvaxu.cc.binghamton.edu> <1990Feb8.033651.18574@Neon.Stanford.EDU> Sender: news@ariel.unm.edu Reply-To: bill@wayback.unm.edu (william horne) Organization: University of New Mexico, Albuquerque Lines: 12 What come to be know as Computational Learning Theory is actually an offshoot of work by Valient. In fact, the Computational Learning Theory (COLT) Conferences, are centered around Valient's approach to learning. An introductory reference is: Valient, L.G., "A Theory of the Learnable", Comm. of the ACM, v27, n11 pp. 1134-1142. Nils Nilsson's book, Learning Machines, is kind of a precursor to conventional pattern recognition, for which a better book is clearly Duda & Hart, Pattern Classification and Scene Analysis