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Abstract: The Bayesian Ying-Yang (BYY) harmony learning acts as a general statistical learning framework, featured by not only new regularization techniques for parameter learning but also a new mechanism that implements model selection either automatically during parameter learning or via a new class of model selection criteria used after parameter learning. In this paper, further advances on BYY harmony learning by considering modular inner representations are presented in three parts. One consists of... (Update)
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BibTeX entry: (Update)
@misc{ structural-special,
author = "Harmony Learning Structural",
title = "Special Issue",
url = "citeseer.ist.psu.edu/719428.html" }
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