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Hidden Semi-Markov Models: Theory, Algorithms and Applications

Hidden Semi-Markov Models: Theory, Algorithms and Applications

by Yu, Shun-Zheng
No customer reviews yet ISBN 9780128027677 Elsevier Science

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms.

Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. Learn new developments and state-of-the-art emerging topics as they relate to HSMMs, presented with examples drawn from medicine, engineering and computer science.

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Product details

BrandElsevier Science
Pub dateOct 26, 2015
ISBN-100128027673
ISBN-139780128027677
Pages208
LanguageEnglish
Dimensions9 × 6 × 0.5 in
Weight1 lb
Last updated 2026-03-11 22:57
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