Hidden Semi-Markov Models

Theory, Algorithms and Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Mathematics, Statistics
Cover of the book Hidden Semi-Markov Models by Shun-Zheng Yu, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Shun-Zheng Yu ISBN: 9780128027714
Publisher: Elsevier Science Publication: October 22, 2015
Imprint: Elsevier Language: English
Author: Shun-Zheng Yu
ISBN: 9780128027714
Publisher: Elsevier Science
Publication: October 22, 2015
Imprint: Elsevier
Language: English

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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Neurobiology of Attention by Shun-Zheng Yu
Cover of the book Heterogeneous Catalysis by Shun-Zheng Yu
Cover of the book Chemical Migration and Food Contact Materials by Shun-Zheng Yu
Cover of the book Ion Channels as Therapeutic Targets, Part B by Shun-Zheng Yu
Cover of the book Developments in Surface Contamination and Cleaning: Methods for Surface Cleaning by Shun-Zheng Yu
Cover of the book Bioceramics and their Clinical Applications by Shun-Zheng Yu
Cover of the book Milestones in Immunology by Shun-Zheng Yu
Cover of the book Network Analysis, Architecture, and Design by Shun-Zheng Yu
Cover of the book Infinite Words by Shun-Zheng Yu
Cover of the book Mechanical Engineer's Data Handbook by Shun-Zheng Yu
Cover of the book Inflammation in Neuropsychiatric Disorders by Shun-Zheng Yu
Cover of the book Microbial Symbioses by Shun-Zheng Yu
Cover of the book Annotating New Genes by Shun-Zheng Yu
Cover of the book DNA Methylation and Complex Human Disease by Shun-Zheng Yu
Cover of the book Approaches to Understanding Breast Cancer by Shun-Zheng Yu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy