Kirjojen hintavertailu. Mukana 12 232 010 kirjaa ja 12 kauppaa.

Kirjailija

Tatiana M. Pinho

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2019-2021, suosituimpien joukossa Hidden Markov Models. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuhaarukka 2019-2021.

Hidden Markov Models

Hidden Markov Models

João Paulo Coelho; Tatiana M. Pinho; José Boaventura-Cunha

CRC Press
2021
nidottu
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 theoryCovers the analysis of both continuous and discrete Markov chainsDiscusses the translation of HMM concepts from the realm of formal mathematics into computer codeOffers many examples to supplement mathematical notation when explaining new concepts
Hidden Markov Models

Hidden Markov Models

João Paulo Coelho; Tatiana M. Pinho; José Boaventura-Cunha

CRC Press
2019
sidottu
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 theoryCovers the analysis of both continuous and discrete Markov chainsDiscusses the translation of HMM concepts from the realm of formal mathematics into computer codeOffers many examples to supplement mathematical notation when explaining new concepts