Hidden Markov Models

  • Hidden Markov Models: Estimation and Control
    Hidden Markov Models: Estimation and Control
    By Robert J Elliott, Lakhdar Aggoun, John B. Moore

    Here, working again with the reference probability technique, we discuss similar problems for “discrete-time” random fields, that is, sets of random variables taking their indices from unordered countable sets, such as, for example, ...

  • Hidden Markov Models: Estimation and Control
    Hidden Markov Models: Estimation and Control
    By Lakhdar Aggoun, John B. Moore, Robert J. Elliott

    Glover, K. and Doyle, J. C. (1988). State space formulae for all stabilizing controllers that satisfy an H∞ norm bound and ... Ho, Y.-C. and Lee, R. C. K. (1968). A Bayesian approach to problems in stochastic estimation and control, ...

  • Hidden Markov Models: Theory and Applications
    Hidden Markov Models: Theory and Applications
    By Przemyslaw Dymarski

    This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering.

  • Hidden Markov Models: Theory and Implementation using MATLAB®
    Hidden Markov Models: Theory and Implementation using MATLAB®
    By João Paulo Coelho, Tatiana M. Pinho, José Boaventura-Cunha

    This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models.

  • Hidden Markov Models: Applications to Financial Economics
    Hidden Markov Models: Applications to Financial Economics
    By Ramaprasad Bhar, Shigeyuki Hamori

    The underlying assumption here is that the researchers in financial economics would be familiar with such application although empirical techniques would be more traditional econometrics.

  • Hidden Markov Models: Methods and Protocols
    Hidden Markov Models: Methods and Protocols
    By David R. Westhead, M. S. Vijayabaskar

    This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology.

  • Hidden Markov Models: Theory and Implementation using MATLAB®
    Hidden Markov Models: Theory and Implementation using MATLAB®
    By João Paulo Coelho, Tatiana M. Pinho, José Boaventura-Cunha

    This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models.

  • Hidden Markov Models: Applications in Computer Vision
    Hidden Markov Models: Applications in Computer Vision
    By Terry Caelli, Horst Bunke

    In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision.