Hidden Semi-Markov Models: Theory, Algorithms and Applications
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Book Overview Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since th...
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.
Book Details Format: Paperback | Pages: 208 | Language: English | Publisher: ELSEVIER | ISBN: 0128027673
FormatPaperback
Pages208
LanguageEnglish
ISBN0128027673
EAN9780128027677
PublisherELSEVIER
Publication Date2015-10-26
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight0.8 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.5 Inches
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