Xref: utzoo comp.ai.neural-nets:1350 alt.cyb-sys:74 Path: utzoo!utgpu!jarvis.csri.toronto.edu!cs.utexas.edu!samsung!aplcen!haven!h.cs.wvu.wvnet.edu!a.cs.wvu.wvnet.edu!schiebel From: schiebel@a.cs.wvu.wvnet.edu (Darrell Schiebel) Newsgroups: comp.ai.neural-nets,alt.cyb-sys Subject: Computational Learning (intro needed) Message-ID: <689@h.cs.wvu.wvnet.edu> Date: 6 Feb 90 07:20:33 GMT Sender: news@h.cs.wvu.wvnet.edu Lines: 16 Could someone recomend a "good" book at a moderate level which provides a mathemetical framework for computational/"non-AI" learning, covering the implications from statistics/cybernetics/ thermodynamics/etc.? These and undoubtedly many other fields seem to provide the theoretical core for this field of research. (?) I would greatly appreciate any assistance. (BTW) Does anyone know the scope, depth, or quality of Nils Nilsson's "Mathemetical Foundations of Learning Machines" (Morgan Kaufmann) ??? Many Thanks, Darrell Schiebel (schiebel@a.cs.wvu.wvnet.edu) (UN027714@wvnvaxa.wvnet.edu) (drs@baks.com)