Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21890
Title: Towards Bayesian learning for the perceptron
Authors: Schietse, Jan
Advisors: BOUTEN, Marcus
Issue Date: 1996
Abstract: Not available
Keywords: Artificial neural networks, repulsive potential, Bayesian learning, Learning rules, Gradient descent learning, Gaussian model, Gibbs learning, Ising teacher problem
Document URI: http://hdl.handle.net/1942/21890
Category: T1
Type: Theses and Dissertations
Appears in Collections:PhD theses
Research publications

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