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JACIII Vol.8 No.2 pp. 108-114
doi: 10.20965/jaciii.2004.p0108
(2004)

Paper:

Rapid Discriminative Learning

Jun Rokui

Department of the Interdisciplinary Faculty of Science and Engineering, Shimane University, 1060 Nishikawatsu-cho, Matsue-shi 690-8504, Japan

Received:
July 29, 2003
Accepted:
December 1, 2003
Published:
March 20, 2004
Keywords:
MCE/GPD, MBL, generalized ability, margin, neural networks
Abstract

This paper presents MCE/GPD using GPD that is known as a highly effective discriminative learning method. MCE/GPD is an excellent recognition method that is applicable especially to speech recognition, since it excels in recognizing performance and can be used to deal with variable-length vectors. MCE/GPD involves a problem of calculation resulting from c omplicated algorithms making it impractical. In this paper, we propose a learning method to increase speed at learning based on a hierarchical model. We used a hierarchical neural network to evaluate the method’s performance.

Cite this article as:
Jun Rokui, “Rapid Discriminative Learning,” J. Adv. Comput. Intell. Intell. Inform., Vol.8, No.2, pp. 108-114, 2004.
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