Now showing items 165-184 of 290

    • Making Personalised Flight Recommendations using Implicit Feedback 

      Coyle, Lorcan (University of Dublin, Trinity College. School of Computer Science and Statistics, 2004-10)
      As e-commerce has become more popular, the problem of information overload has come to the fore. Recommender systems that reduce the information overload problem are becoming more common. However, the problem with many ...
    • Making uniqueness typing less unique 

      De Vries, Edsko Jacob Jelle (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)
      Computer science distinguishes between two major programming paradigms: imperative and functional programming. Central to imperative programming is the notion of some form of state (or memory) together with a list of ...
    • Managing adaptive web services using semantic models and automated policy refinement 

      Carey, Kevin (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010)
      There is an increasing demand for web services to be more flexible, in order to suit fast changing business needs and user requirements. Web services need to be adaptive to changes in context, so as to provide web service ...
    • Mathematical foundations of differential privacy 

      Holohan, Naoise (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)
      Sensitive personal data collected about us has the potential to give great insight into human behaviour, but it remains a challenge to publish such information while guaranteeing (i) individuals’ privacy and (ii) data ...
    • Mean-Shift Tracking for Surveillance: Evaluations and Enhancements 

      CAULFIELD, DARREN (University of DublinUniversity of Dublin, Trinity College, 2011)
      Mean-shift tracking is a technique for following an object of interest as it moves through a video sequence. It is a gradient ascent approach that models the image region to be tracked by its colour histogram. In this ...
    • Measuring social capital in online communities 

      Lane, Brid (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)
      Online communities are a popular and useful means for people to meet, share information, and learn more about a topic of interest to them. However, communities risk disintegration if there are insufficient social connections ...
    • Methods for meaningful text representation and comparison 

      Devitt, Ann (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
      This thesis investigates methods of text representation and comparison using WordNet as a real world knowledge base. The research is carried out within the framework of lexical cohesive theory which defines the cohesive ...
    • Model-driven engineering of planning and optimisation algorithms for pervasive computing environments 

      Harrington, Anthony Christopher (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010)
      This thesis addresses the development of that class of pervasive computing applications that can be modelled as real-world planning and optimisation problems. Canonical examples of such applications are the control of ...
    • Modelling and analysing cooperative adaptive queueing networks and their learning behaviour 

      Dahlem, Dominik Roman Christian (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010)
      Service networks and the assignment of tasks on such networks are prevalent abstractions in a spectrum of domains spanning manufacturing systems, where a strict dependency on the execution of the tasks exist, load-balancing ...
    • Monte Carlo simulation for global illumination 

      Leeson, William (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2001)
      The aim of global illumination is to produce a realistic image that is indistinguishable from a real image of that scene in the least amount of time. This is achieved by modelling the physical laws that govern light ...
    • Multi-Party Electronic Payments for Mobile Communications 

      Peirce, Michael (University of Dublin, Trinity College. Department of Computer Science, 2000-10)
      As mobile communications become increasingly sophisticated and ubiquitous, traditional mobile billing with its implicit trust relationships will no longer be adequate. With a large number of different sized mobile networks, ...
    • Multi-policy optimization in decentralized autonomic systems 

      Dusparic, Ivana (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010)
      Autonomic computing systems are those that are capable of managing themselves based only on highlevel objectives given by humans. In such systems the details of how to meet their objectives, even in the face of changing ...
    • Multiresolution liquid simulation and rendering 

      Lee, Richard (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2008)
      Current approaches to real-time liquid simulation are based on solutions to the two-dimensional wave equation. In this thesis, we introduce a new, explicit solution method for the shallow water equations that achieves more ...
    • MUSE : platform for mobile computer supported collaborative learning 

      Byrne, Peter (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)
      Traditionally much research on computer supported collaborative learning, CSCL, focused on either learning through distant collaboration or face-to-face collaboration sharing a computer. A new and emergent area within CSCL ...
    • Naked objects 

      Pawson, Richard (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2004)
      The original concept of object-oriented software development was that the objects would be 'behaviouslly-complete' representations of the domain entities that they model. Although object oriented technologies now pervade ...
    • Neural network ensembles for financial time-series prediction and risk management 

      Carney, John G. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2000)
      Neural Network Ensembles for Financial Time-Series Prediction and Risk Management. Recently, neural networks have become popular tools for modelling financial markets. Much of this popularity can be attributed to the fact ...
    • The Non-invasive Personalisation of Educational Video Games 

      PEIRCE, NEIL (Trinity College DublinTrinity College Dublin, 2013)
      Educational video games present a progressive approach to technology enhanced learning that offer intrinsically rewarding experiences, high interactivity, an environment with low-risk of failure, and the freedom and ...
    • Novel approaches to biclustering and gene functional classification in microarray gene expression data 

      Bryan, Kenneth (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)
      Microarray analysis is a high-throughput experimental technique with the capacity to measure the expressions of thousands of genes in parallel over many experimental samples (tissues types, environmental conditions, time ...
    • OM2R : semantic documentation of ontology mapping lifecycle to support retrieval and reuse of ontology mappings 

      Thomas, Hendrik (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014)
      Ontology mappings are of critical importance for the Linked Data and the Semantic Web communities as they can help to mitigate the effects of heterogeneities, which are a major obstacle to the promise of interoperability ...
    • On coordination disambiguation in a generative parsing model, with memory-based techniques for parameter estimation. 

      Hogan, Deirdre (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)
      This thesis is concerned with improving existing generative history-based probability models' treatment of noun phrase coordination and the development of memory based techniques for model parameter estimation. Lexicalised ...