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| book details |
Hidden Semi-Markov Models: Theory, Algorithms and Applications
By (author) Shun-Zheng Yu
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| on special |
normal price: R 1 194.95
Price: R 1 075.95
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| book 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.
| product details |
Normally shipped |
Publisher | Elsevier Science Publishing Co Inc
Published date | 27 Oct 2015
Language |
Format | Paperback / softback
Pages | 208
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 390g
ISBN | 978-0-1280-2767-7
Readership Age |
BISAC | computers / artificial intelligence
| other options |
Normally shipped |
Readership Age |
Normal Price | R 1 706.95
Price | R 1 536.95
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Paperback / softback
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