pratt@zztop.rutgers.edu (Lorien Y. Pratt) (10/01/88)
Fall, 1988
Neural Networks Colloquium Series
at Rutgers
On the theory of Boltzmann Machine Learning
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Hector Sussmann
Rutgers University Mathematics Department
Room 705 Hill center, Busch Campus
Friday October 14, 1988 at 11:10 am
Refreshments served before the talk
Abstract
The Boltzmann machine is an algorithm for learning in neural networks,
involving alternation between a ``learning'' and ``hallucinating'' phase.
In this talk, I will present a Boltzmann machine algorithm for which it
can be proven that, for suitable choices of the parameters, the weights
converge so that the Boltzmann machine correctly classifies all
training data. This is because the evolution of the weights follow
very closely, with very high probability, an integral trajectory of the
gradient of the likelihood function whose global maxima are exactly the
desired weight patterns.
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Lorien Y. Pratt Computer Science Department
pratt@paul.rutgers.edu Rutgers University
Busch Campus
(201) 932-4634 Piscataway, NJ 08854