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Can I read Hidden Markov Models and Applications (Unsupervised and Semi-Supervised Learning) on EtoBox?

Hidden Markov Models and Applications (Unsupervised and Semi-Supervised Learning) by Nizar Bouguila, Wentao Fan, Manar Amayri is a nonfiction available to read on EtoBox.

What is Hidden Markov Models and Applications (Unsupervised and Semi-Supervised Learning) about?

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. Erscheinungsdatum: 20.05.2022

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

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Nizar Bouguila, Wentao Fan, Manar Amayri
Publisher
Springer International Publishing AG
Published
2022
Language
EN
ISBN
9783030991418
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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