Energy, entropy, and information potential for neural computation

✍ Scribed by Xu D.

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

✦ 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.