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Hidden Markov Models and Applications - 2022 ed.

By: (Edited by) Manar Amayri , (Edited by) Nizar Bouguila , (Edited by) Wentao Fan

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Ksh 19,800.00

Format: Paperback / Softback

ISBN-10: 303099144X

ISBN-13: 9783030991449

Edition: 2022 ed.

Series: Unsupervised and Semi-Supervised Learning

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 20th, 2023

Print length: 298 Pages

Product Classification: Probability & statistics
Electronics engineering
Mathematical & statistical software
Maths for computer scientists
Signal processing

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This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). The book also reports advances on classic but difficult problems in HMMs such as inference and feature selection and describes real-world applications of HMMs from several domains.

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