eBook - ePub

Hidden Semi-Markov Models

Name: Hidden Semi-Markov Models
ISBN: 9780128027714

Theory, Algorithms and Applications

Shun-Zheng Yu,

208 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Hidden Semi-Markov Models

Theory, Algorithms and Applications

Shun-Zheng Yu,

About this book

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. - Discusses the latest developments and emerging topics in the field of HSMMs - Includes a description of applications in various areas including, Human Activity Recognition, Handwriting Recognition, Network Traffic Characterization and Anomaly Detection, and Functional MRI Brain Mapping. - Shows how to master the basic techniques needed for using HSMMs and how to apply them.

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Yes, you can access Hidden Semi-Markov Models by Shun-Zheng Yu in PDF and/or ePUB format, as well as other popular books in Mathematics & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.