Paper:
Language: English:
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
Keywords: MCE/GPD, MBL, generalized ability, margin, neural networks
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.8, No.2 pp. 108-114, 2004
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.
Preview (PDF)
Reference
[Notice]
* "Preview" is the first 2 pages of the article. You don't need the registration.
* To read the PDF file you will then need to download and install the Adobe Reader.
Adobe Reader is free and available for download here:
