书目名称 | Hidden Markov Models and Applications |
编辑 | Nizar Bouguila,Wentao Fan,Manar Amayri |
视频video | |
概述 | Includes new advances on finite and infinite Hidden Markov Models (HMMs) and their applications from different disciplines.Tackles recent challenges related to the deployment of HMMs in real-life appl |
丛书名称 | Unsupervised and Semi-Supervised Learning |
图书封面 |  |
描述 | 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.. |
出版日期 | Book 2022 |
关键词 | Hidden Markov models; machine learning, inference; Bayesian learning; infinite models; nonparametric Bay |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-99142-5 |
isbn_softcover | 978-3-030-99144-9 |
isbn_ebook | 978-3-030-99142-5Series ISSN 2522-848X Series E-ISSN 2522-8498 |
issn_series | 2522-848X |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |