Diagnostic tools for evaluating and updating hidden Markov models

Introducing Busy Customer Portfolio Using Hidden Markov Model

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Reversible Jump Markov Chain Monte Carlo Methods and Segmentation Algorithms in Hidden Markov Models

We consider hidden Markov models with an unknown number of regimes for the segmentation of the pixel intensities of digital images that consist of a small set of colours. New reversible jump Markov chain Monte Carlo algorithms to estimate both the dimension and the unknown parameters of the model are introduced. Parameters are updated by random walk Metropolis–Hastings moves, without updating t...

Diagnostic tools for evaluating HMM components

Although there are known algorithms for predicting observation and state sequences from HMM models there is little discussion on how to determine the contributions of the different types of HMM parameters to such predictions and consequently, temporal pattern recognition. In this note we discuss and compare a number of objective measures that provide insight into HMM performance in these terms.