logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Hidden Markov Models And Applications Nizar Bouguila Wentao Fan

  • SKU: BELL-43259716
Hidden Markov Models And Applications Nizar Bouguila Wentao Fan
$ 31.00 $ 45.00 (-31%)

5.0

68 reviews

Hidden Markov Models And Applications Nizar Bouguila Wentao Fan instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.83 MB
Author: Nizar Bouguila, Wentao Fan, Manar Amayri
ISBN: 9783030991418, 3030991415
Language: English
Year: 2022

Product desciption

Hidden Markov Models And Applications Nizar Bouguila Wentao Fan by Nizar Bouguila, Wentao Fan, Manar Amayri 9783030991418, 3030991415 instant download after payment.

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.

Related Products