Re: poly: is information the bottom line?

From: Damien Broderick <damien@ariel.ucs.unimelb.edu.au>
Date: Fri Feb 12 1999 - 04:50:12 PST

At 01:50 PM 2/11/99 +0100, Anders wrote:

>quite similar to what happens in the Bayesian Confidence Propagation
>Neural Networks I'm working with; there the network tries to minimize
>an "energy" based on the mutual information and entropy of the
>data). I'm not sure it will work out in the end, but it is a fresh way
>of looking at things.

Isn't this close to the classic Hopfield net model derived by analogy with
spin glasses?

Damien Broderick
Received on Thu Feb 11 20:36:35 1999

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