On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm

Abstract

The recent maximum weighted likelihood (MWL) has provided a general learning paradigm for density-mixture model selection and learning, in which weight design, however, is a key issue. This paper will therefore explore such a design, and through which a heuristic extended expectation-maximization (X-EM) algorithm is presented accordingly. Unlike the EM… (More)
DOI: 10.1109/TKDE.2006.163

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