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Master thesis

Evolving Neural Networks for Statistical Decision Theory: Master Thesis

Michal Valko 1
1 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal, Inria Lille - Nord Europe
Abstract : Real biological networks are able to make decisions. We will show that this behavior can be observed even in some simple architectures of biologically plausible neural models. The great interest of this thesis is also to contribute to methods of statistical decision theory by giving a lead how to evolve the neural networks to solve miscellaneous decision tasks.
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Master thesis
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Submitted on : Wednesday, November 30, 2011 - 12:21:07 AM
Last modification on : Thursday, January 20, 2022 - 4:12:30 PM
Long-term archiving on: : Friday, November 16, 2012 - 12:21:38 PM


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  • HAL Id : hal-00646451, version 1



Michal Valko. Evolving Neural Networks for Statistical Decision Theory: Master Thesis. Machine Learning [stat.ML]. 2005. ⟨hal-00646451⟩



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