Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach on Hidden Semi-Markov Models, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. In addition, new developments and state-of-the-art emerging topics as they relate to HSMMs are presented with general examples drawn medicine, engineering and computer science. Provides a unified definition, in-depth treatment, and foundational approach of the HSMMsDiscusses the latest developments and emerging topics in the field of HSMMsIncludes a description of applications in various areas, including Human Activity Recognition, Handwriting Recognition, Network Traffic Characterization and Anomaly Detection, and Functional MRI Brain MappingShows how to master the basic techniques needed for using HSMMs and how to apply them INDICE: 1. Introduction2. Inference of General Hidden Semi-Markov Model3. Estimation of General Hidden Semi-Markov Model4. Implementation of the Algorithms5. Conventional Models6. Various Duration Distributions8. Variants of HSMM9. Applications of HSMM
- ISBN: 978-0-12-802767-7
- Editorial: Morgan Kaufmann
- Encuadernacion: Rústica
- Páginas: 128
- Fecha Publicación: 15/11/2015
- Nº Volúmenes: 1
- Idioma: Inglés