Minimum Error Entropy Classification (Studies in Computational Intelligence) 〈Vol. 420〉

De sá, J. M./ De Silva, L. M. A./ Santos, J. M.

Springer（2012/06発売）

• 製本 Hardcover:ハードカバー版／ページ数 262 p.／サイズ 110 illus.
• 商品コード 9783642290282

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.