Learning multi-linear representations of distributions for efficient inference
نویسندگان
چکیده
منابع مشابه
Learning Multi - Linear Representations for Efficient
We examine the class of multi-linear representations (MLR) for expressing probability distributions over discrete variables. Recently, MLRs have been considered as intermediate representations that facilitate inference in distributions represented as graphical models. We show that MLR is an expressive representation of discrete distributions and can be used to concisely represent classes of dis...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2009
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-009-5130-x