Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!watmath!clyde!caip!elbereth!rutgers!sri-spam!sri-unix!hplabs!sdcrdcf!ucla-cs!zeus!berke From: berke@zeus.cs.ucla.edu (Peter Berke) Newsgroups: sci.math.stat Subject: Connectionism = Statistics? Message-ID: <2198@curly.ucla-cs.ARPA> Date: Sat, 18-Oct-86 18:21:23 EDT Article-I.D.: curly.2198 Posted: Sat Oct 18 18:21:23 1986 Date-Received: Tue, 21-Oct-86 06:44:15 EDT Reply-To: berke@zeus (Peter Berke) Distribution: net.math.stat Organization: UCLA Computer Science Department Lines: 18 Many "connectionist" models remind me of methods to get statistical programs (e.g., nonlinear regression, structural relations) to converge. If you know of any analysis or comparisons of these two classes of research I would like very much to be made aware of them. My own statistical background is what I might call comfortable to extensive for a programmer, but minimal for a statistician, so I am unable to produce such analyses. I should be able to read them though, so please, fill me in. Thank you, Peter Berke (please respond by mail, and if I will summarize to net if others would like) Hey, also, if you don't know of any such analysis, but would like to collaborate on some and you have a great knowledge of statistics (for a statistician), let me know that too. Thanks, P.