Statistical Machine Learning in Markov Random Fields
نویسندگان
چکیده
منابع مشابه
Structure Learning in Markov Random Fields
Scoring structures of undirected graphical models by means of evaluating the marginal likelihood is very hard. The main reason is the presence of the partition function which is intractable to evaluate, let alone integrate over. We propose to approximate the marginal likelihood by employing two levels of approximation: we assume normality of the posterior (the Laplace approximation) and approxi...
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Acknowledgments I would like to thank my advisor, Pradeep Ravikumar, for inspiration, guidance, and encouragement on this work. In addition, I would like to thank Ali Jalali for his collaboration and work on the proof techniques and theoretical analysis used in this paper. Also, I would also like to thank Inderjit Dhillon and the students of his lab for motivation and many stimulating conversat...
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ژورنال
عنوان ژورنال: IEICE ESS Fundamentals Review
سال: 2018
ISSN: 1882-0875
DOI: 10.1587/essfr.11.4_256