Keyword : learning theory


Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods
Kazushi IKEDA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2004/01/01
Vol. E87-D  No. 1 ; pp. 258-260
Type of Manuscript:  LETTER
Category: Biocybernetics, Neurocomputing
Keyword: 
learning theorysupport vector machineeffective dimension
 Summary | Full Text:PDF(121KB)

Criteria for Inductive Inference with Mind Changes and Anomalies of Recursive Real-Valued Functions
Eiju HIROWATARI Kouichi HIRATA Tetsuhiro MIYAHARA Setsuo ARIKAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2003/02/01
Vol. E86-D  No. 2 ; pp. 219-227
Type of Manuscript:  Special Section PAPER (Special Issue on Selected Papers from LA Symposium)
Category: Computational Learning Theory
Keyword: 
learning theoryinductive inferencereal-valued function
 Summary | Full Text:PDF(267.5KB)

A Regularization Method for Neural Network Learning that Minimizes Estimation Error
Miki YAMADA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1994/04/25
Vol. E77-D  No. 4 ; pp. 418-424
Type of Manuscript:  Special Section PAPER (Special Issue on Neurocomputing)
Category: Regularization
Keyword: 
neurocomputinglearning algorithmlearning theory
 Summary | Full Text:PDF(462.4KB)