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Network: Computation in Neural Systems Volume 3, 1992 - Issue 3
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Original Article

On the classification of learning machines

Giorgio Parisi Dipartimento di Fisica and INFN sezione 'Tor Vergata', II Università di Roma 'Tor Vergata', Via E Carnevale, Roma, 00173, Italy
Pages 259-265 | Received 23 Mar 1992, Published online: 09 Jul 2009
 
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Abstract

In this paper we define the entropy of an architecture, which quantifies the propensity of a machine to learn a rule by examples. The distance in the learning propensities of two architectures is also defined. A possible prototype of intelligent behaviour is defined.

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