基本説明
Presents data classification methodologies based on a minimum error entropy approach. Includes both theoretical results and applications to real world datasets.
Full Description
These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees.
