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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. (Update)
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BibTeX entry: (Update)
@mastersthesis{ valko2005evolving,
author = "Michal Valko",
title = "Evolving Neural Networks for Statistical Decision Theory",
school = "Comenius University, Bratislava, Slovakia",
year = "2005",
month = "June",
url = "citeseer.ist.psu.edu/valko05evolving.html" }
Citations (may not include all citations):1491 Learning internal representations by error propagation (context) - Rumelhart, Hinton et al. - 1986
1213 Self-organizing maps (context) - Kohonen - 1997
976 Machine Learning (context) - Mitchell - 1997
353 An Introduction to Genetic Algorithms (context) - Mitchell - 1998
254 Neural computation of decisions in optimization problems (context) - Hopfield, Tank - 1985
116 Selection of relevant features and examples in machine learn.. - Blum, Langley - 1997
66 Theory of Statistics (context) - Schervish - 1995
50 Learning and evolution in neural networks - Nolfi - 2002
25 Biophysics of Computation: Information Processing in Single .. (context) - Koch - 1998
21 Theoretical Neuroscience (context) - Dayan, Abbott - 2001
7 Monte--Carlo --- concepts algorithms and applications (context) - Fishman - 1996
7 Neural Networks for Identification (context) - Pham, Liu - 1995
2 Evolution of artificial neural networks - Nolfi, Parisi - 2002
1 A survey of the state of the art (context) - er, Whitley et al. - 1992
1 Evolutionary algorithms (context) - Kvasnicka, Pospichal et al. - 2000
1 Neuron networks and information systems of living orgamisms (context) - Novak, Faber et al. - 1993
1 Artificial Intelligence (context) - Navrat, Bielikova et al. - 2002
1 Temporal coding and recognition of uncued temporal patterns .. (context) - Pavlasek, Jenca - 2001
1 Rate coding: neurobiological network performing detection of.. (context) - Pavlasek, Jenca et al. - 2003
1 Error-backpropagation in temporally encoded networks of spik.. - Bohte, Kok et al. - 2002
1 The time course of synaptic potentials evoked in cat spinal .. (context) - Redman, Walmsley - 1983
1 Modeling of neuronal functions: A neuronlike element with th.. (context) - Janco, Stavrovsky et al. - 1994
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