Introduction to Hidden Semi Markov Models

• Author : John Van der Hoek,Robert J. Elliott
• Publisher : Cambridge University Press
• Release : 28 March 2023

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates. The authors then introduce semi-Markov chains and hidden semi-Markov chains, before developing related estimation and filtering results. Genomics applications are modelled by discrete observations of these hidden semi-Markov chains. This book contains new results

• Author : Jan Bulla
• Publisher : Unknown
• Release : 28 March 2023

• Author : Shun-Zheng Yu
• Publisher : Morgan Kaufmann
• Release : 22 October 2015

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms. Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the

• Author : Vlad Stefan Barbu,Nikolaos Limnios
• Publisher : Springer Science & Business Media
• Release : 07 January 2009

Here is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. A unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied

• Author : Christoph Anger
• Publisher : Unknown
• Release : 28 March 2023

• Author : Walter Zucchini,Iain L. MacDonald,Roland Langrock
• Publisher : CRC Press
• Release : 19 December 2017

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be

• Author : 家良·郭
• Publisher : Unknown
• Release : 28 March 2023

• Author : Felix Salfner
• Publisher : Unknown
• Release : 28 March 2023

• Author : Benjamin Preston
• Publisher : Unknown
• Release : 28 March 2023

Hidden semi-Markov models (HSMMs) are a powerful class of statistical model that have been applied to a wide range of areas such as speech recognition, protein structure prediction, Internet-traffic modeling, financial time-series modeling, and classification of music. Three basic problems of hidden Markov model inference are: Computation of the likelihood, computation of the maximum likelihood-estimate of the model parameters, and computation of the maximum a posteriori estimate of the hidden state sequence. We address these inference problems for a set

• Author : Nizar Bouguila
• Publisher : Springer Nature
• Release : 28 March 2023

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

• Author : M. J. Russell,L. Sime,ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (England),Royal Signals and Radar Establishment (Great Britain)
• Publisher : Unknown
• Release : 28 March 1988

In recent years considerable effort has been directed towards improving the treatment of durational structure in hidden Markov model (HMM) based approaches to speech pattern modelling. In general these studies have been concerned with more accurate modelling of the variations in segment duration which occur when words are spoken at a nominally constant speaking rate. However, recent work has shown that some of the performance gains which can be achieved by improved duration modelling are lost when the words in

• Author : Doris C. Lin
• Publisher : Unknown
• Release : 28 March 1994

• Author : Anonim
• Publisher : Unknown
• Release : 28 March 1985

• Author : Kondo H. Adjallah,Babiga Birregah,Henry Fonbeyin Abanda
• Publisher : Springer
• Release : 21 June 2019

This book gathers the proceedings of the 1st International Conference on Engineering, Applied Sciences and System Modeling (ICEASSM), a four-day event (18th–21st April 2017) held in Accra, Ghana. It focuses on research work promoting a better understanding of engineering problems through applied sciences and modeling, and on solutions generated in an African setting but with relevance to the world as a whole. The book provides a holistic overview of challenges facing Africa, and addresses various areas from research and development

• Author : Ilia Vonta,Mangey Ram
• Publisher : CRC Press
• Release : 03 October 2018

Reliability theory is a multidisciplinary science aimed at developing complex systems that are resistant to failures. Reliability engineering has emerged as a main field not only for scientists and researchers, but also for engineers and industrial managers. This book covers the recent developments in reliability engineering. It presents new theoretical issues that were not previously published, as well as the solutions of practical problems and case studies illustrating the applications methodology. This book is written by a number of leading