Title: Learning multiclass classification problems
Authors: Watkin, Tlh ×
Rau, A
Bollé, Désiré
Vanmourik, J #
Issue Date: Feb-1992
Publisher: Les Editions de physique
Series Title: Journal de Physique I vol:2 issue:2 pages:167-180
Abstract: A multi-class perceptron can learn from examples to solve problems whose answer may take several different values. Starting from a general formalism, we consider the learning of rules by a Hebbian algorithm and by a Monte-Carlo algorithm at high temperature. In the benchmark "prototype-problem" we show that a simple rule may be more than an order of magnitude more efficient than the well-known solution, and in the conventional limit is in fact optimal. A multi-class perceptron is significantly more efficient than a more complicated architecture of binary perceptrons.
ISSN: 1155-4304
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Theoretical Physics Section
× corresponding author
# (joint) last author

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