In this report, various techniques employed in extending the standard HMMs to explicitly model the local time correlation in speech data are reviewed. The aim of this review is to compare and contrast various techniques by relating each technique to the rest in a proper framework. Critical evaluations which highlight the strengths and weaknesses of each technique are also reported. This study w...

Last but not the least, I would like to acknowledge the support and encouragement provided by my family during my Master's studies.

This paper uses ordered response models of pensioners’ subjective evaluations of their ...nancial positions to construct equivalence scales for pensioners. A range of di¤erent ordered response models is used. The paper examines the sensitivity of the estimated scale to (a) the econometric model used and (b) the measurement of income. A pensioner couple is found to require on average 1.3 to 1.4 ...

We consider the problem of updating beliefs for binary random variables, when probability assessments are elicited for them based on information of varying quality. We propose the threshold model, a Bayesian updating procedure where only measures of location and correlation have to be speciied before any updating is possible. The main aspect of this model is the use of Jeerey's conditionalizati...

We have a well-established standard model for cosmology and prospects for considerable additions from work in progress. I offer a list of elements of the standard model, comments on controversies in the interpretation of the evidence in support of this model, and assessments of the directions extensions of the standard model seem to be taking. Table of

The use of hidden Markov models (HMMs) has found widespread use in many different areas. This chapter focuses on HMMs applied to the performance evaluation of computer systems and networks. After presenting a brief review of background material on HMMs, applications such as channel delay and loss characteristics, traffic modeling and workload generation are surveyed. The power of HMMs as predic...

Rapidly evolving information technology has dramatically changed the knowledge dissemination process. A proper e-learning environment is one of the most important knowledge tools in modern organizations. However, many of them lack a generic evaluation process to verify performance. In an attempt to solve this problem, this study propose an agent-based model which compose learning model, balance...