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On the search for new learning rules for ANNs (1995)

Bengio, Samy ; Bengio, Yoshua ; Cloutier, Jocelyn

Springer

Neural processing letters 2 (1995), S. 26-30

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ISSN: 1573-773X

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: Abstract In this paper, we present a framework where a learning rule can be optimized within a parametric learning rule space. We define what we callparametric learning rules and present a theoretical study of theirgeneralization properties when estimated from a set of learning tasks and tested over another set of tasks. We corroborate the results of this study with practical experiments.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF02279935

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