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Published by Taylor & Francis Ltd, 2021
ISBN 10: 036777934X ISBN 13: 9780367779344
Language: English
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Add to basketPaperback. Condition: Brand New. 296 pages. 9.25x6.14x1.02 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 268 pages. 9.50x6.50x0.75 inches. In Stock.
Published by Taylor & Francis Ltd, 2021
ISBN 10: 036777934X ISBN 13: 9780367779344
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 theoryCovers the analysis of both continuous and discrete Markov chainsDiscusses the translation of HMM concepts from the realm of formal mathematics into computer codeOffers many examples to supplement mathematical notation when explaining new concepts.
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Add to basketHardcover. Condition: Brand New. 268 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 theoryCovers the analysis of both continuous and discrete Markov chainsDiscusses the translation of HMM concepts from the realm of formal mathematics into computer codeOffers many examples to supplement mathematical notation when explaining new concepts.