Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination-Reference-Cited by-同舟云学术

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Minimum Classification Error Training Incorporating Automatic Loss Smoothness Determination

Published:2013-05-07 Issue:3 Volume:74 Page:311-322
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Watanabe Hideyuki,Tokuno Jun’ichi,Ohashi Tsukasa,Katagiri Shigeru,Ohsaki Miho,Matsuda Shigeki,Kashioka Hideki

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-013-0746-2.pdf

Reference11 articles.

1. Juang, B.-H., & Katagiri, S. (1992). Discriminative learning for minimum error classification. IEEE Transactions on Signal Processing, 40(12), 3043–3054.

2. McDermott, E., & Katagiri, S. (2004). A derivation of minimum classification error from the theoretical classification risk using Parzen estimation. Computer Speech and Language, 18, 107–122.

3. Amari, S. (1967). A theory of adaptive pattern classifiers. IEEE Transactions on Electronic Computers, EC-16, 299–307.

4. Parzen, E. (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics, 33, 1065–1076.

5. Bishop, C.M. (2006). Pattern recognition and machine learning. New York: Springer.

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