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Hidden Markov Models: Theory And Implementation Using Matlab(R)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Hidden Markov Models: Theory And Implementation Using Matlab...
ISBN
9780367203498
Publication Year
2019
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Hidden Markov Models : Theory and Implementation Using Matlab
Item Height
0.5in
Author
José Boaventura-Cunha, João Paulo Coelho, Tatiana M. Pinho
Item Length
9.2in
Publisher
CRC Press LLC
Item Width
6.1in
Item Weight
26.6 Oz
Number of Pages
282 Pages

About this product

Product Information

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.g. speech processing. Moreover, it presents the translation of hidden Markov models' concepts from the domain of formal mathematics into computer codes using MATLAB®. The unique feature of this book is that the theoretical concepts are first presented using an intuition-based approach followed by the description of the fundamental algorithms behind hidden Markov models using MATLAB®. This approach, by means of analysis followed by synthesis, is suitable for those who want to study the subject using a more empirical approach. 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

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
0367203499
ISBN-13
9780367203498
eBay Product ID (ePID)
12038289422

Product Key Features

Author
José Boaventura-Cunha, João Paulo Coelho, Tatiana M. Pinho
Publication Name
Hidden Markov Models : Theory and Implementation Using Matlab
Format
Hardcover
Language
English
Publication Year
2019
Type
Textbook
Number of Pages
282 Pages

Dimensions

Item Length
9.2in
Item Height
0.5in
Item Width
6.1in
Item Weight
26.6 Oz

Additional Product Features

Lc Classification Number
Qa274.7.C635 2019
Reviews
"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
Table of Content
Introduction 1. Probability theory and stochastic processes 2. Discrete hidden Markov models 3. Continuous hidden Markov models 4. Autoregressive Markov models 5. Selected Applications Glossary References Index
Copyright Date
2019
Topic
Mathematical & Statistical Software, Probability & Statistics / Stochastic Processes, General, Data Processing, Computer Engineering
Lccn
2019-010285
Dewey Decimal
519.2/33
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics

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