The problem of learning a latent model for sparse or low-dimensional representation of high-dimensional data has attracted significant attention for many years. This thesis focuses on learning latent models for sparse or low-dimensional representation of images, dynamic data, and documents with...

Seven adaptive approaches to post-processing wind speed forecasts are discussed and compared. 48-hour forecasts are run at horizontal resolutions of 7 km and 3 km for a domain centred over Ireland. Forecast wind speeds over a two year period are compared to observed wind speeds at seven synoptic...

As the primary vehicle for most organized cybercrimes, malicious software (or malware) has become one of the most serious threats to computer systems and the Internet. With the recent advent of automated malware development toolkits, it has become relatively easy, even for marginally skilled...

Design of a classifier consists of two stages: feature extraction and classifier learning. For a better performance, the nature, characteristics, or underlying structure of data should be taken into account in either of the stages when we design a classifier. In this thesis, we present kernel...

Unwanted and untimely interruptions have been a major cause in the loss of productivity in recent years. It has been found that they are mostly detrimental to the immediate task at hand. Multiple approaches have been proposed to address the problem of interruption by calculating cost of it. The...

Automatic Identification (AutoID) technology has introduced innovative ways to collect,manage information and monitor everything from hospital patients and livestock to library books.Radio frequency Identification (RFID) is the burgeoning AutoID becoming a popular tool inmanufacturing, supply...

Although automated test equipment standards have improved substantially since as recently as the early 1990s, the standards have not reached the point where instrument models are interchangeable. This may never be achievable, which is why a software solution is necessary in order to allow for...

The ability to model, forecast, and analyze the behaviors of otheragents has applications in many diverse contexts. For example, behavioral models can be used in multi-player games to forecast an opponent's next move, in economics to forecast a merger decision by a CEO, or in international...

Consider a network of nodes that are deployed to monitor a common phenomenon. In many cases, the network nodes need to estimate the common phenomenon from \noisy" observations they make. Although each node can independently obtain the estimate from its own observations, it can obtain a better...

This thesis presents a comparison between two simulation methods, namely Discrete Event Simulation (DES) and Agent Based Simulation (ABS). In our literature review we identified a gap in comparing the applicability of these methods to modelling human centric service systems. Hence, we have...