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An Introduction to MCMC for Machine Learning

Abstract:
This purpose of this introductory paper is threefold. First, it introduces the Monte Carlo method with emphasis on probabilistic machine learning. Second, it reviews the main building blocks of modern Markov chain Monte Carlo simulation, thereby providing and introduction to the remaining papers of this special issue. Lastly, it discusses new interesting research horizons.

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Publisher copy:
10.1023/A:1020281327116
Journal:
Machine Learning More from this journal
Volume:
50
Issue:
1−2
Pages:
5-43
Publication date:
2003-01-01
DOI:
ISSN:
0885-6125
UUID:
uuid:68de6b0a-3673-4eea-8ce8-98c450020f46
Local pid:
cs:7533
Deposit date:
2015-03-31

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