22. Bayesian Ying Yang Learning (I): A Unified Perspective for Statistical Modeling
نویسنده
چکیده
Major dependence structure mining tasks are overviewed from a general statistical learning perspective. Bayesian Ying Yang (BYY) harmony learning has been introduced as a unified framework for mining these dependence structures, with new mechanisms for model selection and regularization on a finite size of samples. Main results are summarized and bibliographic remarks are made. Two typical approaches for implementing learning, namely optimization search and accumulation consensus, are also introduced. 22.
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تاریخ انتشار 2004