Description: 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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EAN: 9780128027677
UPC: 9780128027677
ISBN: 9780128027677
MPN: N/A
Book Title: Hidden Semi-Markov Models: Theory, Algorithms and
Item Length: 22.9 cm
Item Height: 235 mm
Item Width: 152 mm
Author: Shun-Zheng Yu
Publication Name: Hidden Semi-Markov Models: Theory, Algorithms and Applications
Format: Paperback
Language: English
Publisher: Elsevier Science Publishing Co Inc
Subject: Computer Science, Mathematics
Publication Year: 2015
Type: Textbook
Item Weight: 390 g
Number of Pages: 208 Pages
