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Energy, entropy, and information potential for neural computation

โœ Scribed by Xu D.


Book ID
127424761
Year
1999
Tongue
English
Weight
1 MB
Edition
PhD Thesis
Category
Library
City
Florida

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โœฆ Synopsis


The major goal of this research is to develop general nonparametric methods for the estimation of entropy and mutual information, giving a unifying point of view for their use in signal processing and neural computation. In many real world problems, the information is carried solely by data samples without any other a priori knowledge. The central issue of "learning from examples" is to estimate energy, entropy or mutual information of a variable only from its samples and adapt the system parameters by optimizing a criterion based on the estimation.


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Entropy, information, and computation
โœ Machta, J. ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› American Institute of Physics ๐ŸŒ English โš– 247 KB