NDLI: Minimum /spl alpha/-information strategy for the interpretation of the network behaviors and the improved generalization

Content Provider	IEEE Xplore Digital Library
Author	Kamimura, R. Nakanishi, S.
Copyright Year	1995
Description	Author affiliation: Inf. Sci. Lab., Tokai Univ., Kanagawa, Japan (Kamimura, R.)
Abstract	Proposes a minimum /spl alpha/-information strategy for the explicit interpretation of the network behaviors and for the improved generalization performance. The /spl alpha/-information is defined by the difference between Shannon and Renyi entropy. The /spl alpha/-information minimization can be translated into entropy maximization and entropy minimization for hidden units in term of Shannon entropy. Thus, the /spl alpha/-information minimization forces hidden units to have a maximum information content or a minimum information content, depending on the importance of the hidden units. For the interpretation of the network behaviors, we have only to see a small number of maximum information hidden units, ignoring the minimum information hidden units. In addition, by minimizing the /spl alpha/-information, the unnecessary information can be eliminated, leading to the better generalization. The authors applied the /spl alpha/-information minimization to the inference of the sonority of the artificial language. Experimental results explicitly confirmed that the explicit internal representation could be obtained and the generalization could significantly be improved.
Starting Page	974
Ending Page	978
File Size	397402
Page Count	5
File Format	PDF
ISBN	0780327683
DOI	10.1109/ICNN.1995.487552
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-11-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Information science Laboratories Uncertainty
Content Type	Text
Resource Type	Article

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