Hidden Markov Models
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"A distinguishing feature of this book is that it provides the MATLAB code for the various algorithms covered. This would make it an excellent text for a course in the subject, as it would enable the students to experiment themselves with the algorithms encountered. Another good feature is that each chapter ends with a clear summary. All libraries serving programs in computer science should acquire this volume, and it would be worth considering as a textbook by instructors teaching courses on hidden Markov models."
— R. Bharath, emeritus, Northern Michigan University in CHOICE magazine
»
This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e. Les mer
Key Selling Points:
Presents a broad range of concepts related to Hidden Markov Models (HMM), from simple problems to advanced theory
Covers the analysis of both continuous and discrete Markov chains
Discusses the translation of HMM concepts from the realm of formal mathematics into computer code
Offers many examples to supplement mathematical notation when explaining new concepts
Detaljer
- Forlag
- CRC Press
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 282
- ISBN
- 9780367779344
- Utgivelsesår
- 2021
- Format
- 23 x 16 cm
Anmeldelser
«
"A distinguishing feature of this book is that it provides the MATLAB code for the various algorithms covered. This would make it an excellent text for a course in the subject, as it would enable the students to experiment themselves with the algorithms encountered. Another good feature is that each chapter ends with a clear summary. All libraries serving programs in computer science should acquire this volume, and it would be worth considering as a textbook by instructors teaching courses on hidden Markov models."
— R. Bharath, emeritus, Northern Michigan University in CHOICE magazine
»
«
"A distinguishing feature of this book is that it provides the MATLAB code for the various algorithms covered. This would make it an excellent text for a course in the subject, as it would enable the students to experiment themselves with the algorithms encountered. Another good feature is that each chapter ends with a clear summary. All libraries serving programs in computer science should acquire this volume, and it would be worth considering as a textbook by instructors teaching courses on hidden Markov models."
— R. Bharath, emeritus, Northern Michigan University in CHOICE magazine
»