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Can I read Hidden Markov Models : Theory and Implementation Using MATLAB® on EtoBox?

Hidden Markov Models : Theory and Implementation Using MATLAB® by João Paulo Coelho; Tatiana de Fátima Martins Pinho; José Boaventura Ribeiro da Cunha; Taylor & Francis (Londyn) is a nonfiction available to read on EtoBox.

What is Hidden Markov Models : Theory and Implementation Using MATLAB® about?

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on the subject, it is generic and does not focus on a specific theme, e.g. speech processing. Moreover, it presents the translation of hidden Markov models’ concepts from the domain of formal mathematics into computer codes using MATLAB^®^. The unique feature of this book is that the theoretical concepts are first presented using an intuition-based approach followed by the description of the fundamental algorithms behind hidden Markov models using MATLAB^®^. This approach, by means of analysis followed by synthesis, is suitable for those who want to study the subject using a more empirical approach. **Key Selling Points:** * Presents a broad range of concepts related to Hidden Markov Models (HMM), from simple problems to advanced theory * Covers the analysis of both continuous and discrete Markov chains * Discusses the translation of HMM concepts from the realm of formal mathematics into computer code * Offers many examples to supplement mathematical notation when explaining new concepts

Who reads Hidden Markov Models : Theory and Implementation Using MATLAB®?

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

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

Author
João Paulo Coelho; Tatiana de Fátima Martins Pinho; José Boaventura Ribeiro da Cunha; Taylor & Francis (Londyn)
Publisher
CRC Press, Taylor & Francis Group
Published
2019
Language
EN
ISBN
9780367203498
Category
nonfiction
Subjects
Mathematics, Engineering, Science

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