Learning mixtures of truncated basis functions from data
نویسندگان
چکیده
منابع مشابه
Learning Mixtures of Truncated Basis Functions from Data
In this paper we describe a new method for learning hybrid Bayesian network models from data. The method utilizes a kernel density estimator, which is in turn “translated” into a mixture of truncated basis functions-representation using a convex optimization technique. We argue that these estimators approximate the maximum likelihood estimators, and compare our approach to previous attempts at ...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2014
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2013.09.012