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Hidden Markov Models and Applications (Unsupervised and Semi-Supervised Learning)

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Description

This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a specific task or application, such as estimation or selection, etc. The goal of this volume is to summarize the recent advances and modern approaches related to these problems. 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. The book pertains to researchers and graduate students, who will gain a clear view of recent developments related to HMMs and their applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 May 2022
Listed Since
20 February 2022

Barcode

No barcode data available

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