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.
- 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.
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Acknowledgments
- Chapter 1. Introduction
- Chapter 2. General Hidden Semi-Markov Model
- Chapter 3. Parameter Estimation of General HSMM
- Chapter 4. Implementation of HSMM Algorithms
- Chapter 5. Conventional HSMMs
- Chapter 6. Various Duration Distributions
- Chapter 7. Various Observation Distributions
- Chapter 8. Variants of HSMMs
- Chapter 9. Applications of HSMMs
- References
Product information
- Title: Hidden Semi-Markov Models
- Author(s):
- Release date: October 2015
- Publisher(s): Elsevier
- ISBN: 9780128027714
You might also like
book
Semi-Markov Models
Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology …
book
Techniques for Noise Robustness in Automatic Speech Recognition
Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace …
video
Panel: Real-time Discussions on Real-time Data processing
How do streaming experts define “streaming”? What are their favorite use cases of real-time streaming, and …
book
Semi-Markov Processes
Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space …