Abstract
Learning tasks are viewed from the fundamental relationships among the observed data. The key issues of Bayesian Ying Yang system and harmony learning theory are summarized from a systematical perspective. Further discussions are made on its relations to maximum likelihood learning, information theory, information geometry and Helmholtz machine learning.
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