In intelligent information processing tasks such as pattern recognition and information retrieval (IR), probabilistic models are now widely used because they can represent ambiguities of observed data and are robust against noises. Parameters of probabilistic models are statistically estimated (learned) from given training data. However, when the training data contain an insufficient amount of ...

We develop a methodology for characterizing the superposi-tion process of N 2 discrete-time arbitrary on/oo sources. The superposition is a discrete-time semi-Markov process with O(2 2N) states. We use the superposition model to analyze a nite-buuer statistical multiplexer with multiple arbitrary on/oo input sources. We study the eeect of various traac parameters on the queueing performance.

Objective: To analyze successful national smokefree policy implementation in Colombia, a middle income country. Materials and methods: Key informants at the national and local levels were interviewed and news sources and government ministry resolutions were reviewed. Results: Colombia's Ministry of Health coordinated local implementation practices, which were strongest in larger cities with...

We propose an optimum mechanism for providing monetary incentives to the data sources of a statistical estimator such as linear regression, so that high quality data is provided at low cost, in the sense that the weighted sum of payments and estimation error is minimized. The mechanism applies to a broad range of estimators, including linear and polynomial regression, kernel regression, and, un...

Statistical machine translation is often faced with the problem of having insufficient training data for many language pairs. In this thesis, several methods have been proposed to leverage other sources to enhance the quality of machine translation systems. Particularly, we propose approaches suitable in these four scenarios: 1. when an additional parallel corpus between the source and the targ...

Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We use rational analysis to investigate the hypothesis that children are classifying nouns o...

The link between human resource management techniques and employee performance has been studied in a variety of ways. Still most studies have done the manufacturing or health sector, with none having carried out Ministry Interior Co-ordination National Government, Nairobi City County. Therefore, this study sought to examine influence career development on government coordination County, City. T...

This paper is based on data from the archives of official institutions Kingdom Serbia, namely Serbian Ministry Interior?s Registry for years 1907 and 1908 Belgrade City Administration?s Persons Granted Citizenship. Due to a lack documents archival material destroyed in World War I, these formal registries were used as proof completed administrative procedure granting citizenship Serbia Jovan Du...