A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is
From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model selection automatically during parameter learning. In this paper, we make a theoretical analysis on the harmony function and prove that the global maximization of the harmony function leads to the automated model selection property when there is no or weak overlap between the actual components in the sample data.doi:10.1109/ijcnn.2006.246961 dblp:conf/ijcnn/Ma06 fatcat:ia26isd7frardcw7oks4err3ja