Now showing items 1-20 of 52

  • A formalism for describing and simulating systems with interacting components. 

    Corr, Glenn A. (The Robert Gordon University School of Computing, 1996-05)
    This thesis addresses the problem of descriptive complexity presented by systems involving a high number of interacting components. It investigates the evaluation measure of performability and its application to such ...
  • An application of genetic algorithms to chemotherapy treatment. 

    Petrovski, Andrei (Robert Gordon University School of Computing Science & Digital Media, 1998-12)
    The present work investigates methods for optimising cancer chemotherapy within the bounds of clinical acceptability and making this optimisation easily accessible to oncologists. Clinical oncologists wish to be able to ...
  • Informed selection and use of training examples for knowledge refinement. 

    Wiratunga, Nirmalie (Robert Gordon University School of Computing, 2000-12-31)
    WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.
    Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the ...
  • Using document clustering and language modelling in mediated information retrieval. 

    Muresan, Gheorghe (Robert Gordon University School of Computing, 2002-01)
    Our work addresses a well documented problem: users are frequently unable to articulate a query that clearly and comprehensively expresses their information need. This can be attributed to the information need being too ...
  • DEUM: A Framework for an Estimation of Distribution Algorithm based on Markov Random Fields 

    Shakya, Siddhartha (The Robert Gordon University School of Computing, Faculty of Design and Technology, The Robert Gordon University, Aberdeen, UK, 2006-04)
    Estimation of Distribution Algorithms (EDAs) belong to the class of population based optimisation algorithms. They are motivated by the idea of discovering and exploiting the interaction between variables in the solution. ...
  • Complexity modelling for case knowledge maintenance in case-based reasoning. 

    Massie, Stewart (The Robert Gordon University School of Computing, 2006-12)
    Case-based reasoning solves new problems by re-using the solutions of previously solved similar problems and is popular because many of the knowledge engineering demands of conventional knowledge-based systems are removed. ...
  • Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. 

    Chakraborti, Sutanu (Robert Gordon University School of Computing Science and Digital Media., 2007-08)
    Textual Case Based Reasoning (TCBR) aims at effective reuse of information contained in unstructured documents. The key advantage of TCBR over traditional Information Retrieval systems is its ability to incorporate ...
  • Using the organizational and narrative thread structures in an e-book to support comprehension. 

    Sun, Yixing (The Robert Gordon University School of Computing, 2007-08)
    Stories, themes, concepts and references are organized structurally and purposefully in most books. A person reading a book needs to understand themes and concepts within the context. Schank’s Dynamic Memory theory suggested ...
  • Research and development of enhanced, integrated and accessible flow metering software for industry. 

    Wood, Dawn Colleen (The Robert Gordon University School of Computing, 2007-12)
    This project was an investigation to find improvements required in the delivery of software for the flow metering industry. The project has resulted in the repackaging of existing software using appropriate technologies. ...
  • An inductive logic programming approach to learning which uORFs regulate gene expression. 

    Selpi (The Robert Gordon University School of Computing, 2008-03)
    Some upstream open reading frames (uORFs) regulate gene expression (i.e. they are functional) and can play key roles in keeping organisms healthy. However, how uORFs are involved in gene regulation is not het fully understood. ...
  • Event and map content personalisation in a mobile and context-aware environment. 

    Bierig, Ralf (The Robert Gordon University School of Computing, 2008-04)
    Effective methods for information access are of the greatest importance for our modern lives – particularly with respect to handheld devices. Personalisation is one such method which models a user’s characteristics to ...
  • Self adapting websites: mining user access logs. 

    Bathumalai, Ganesan (The Robert Gordon University School of Computing, 2008-06)
    The Web can be regarded as a large repository of diversified information in the form of millions of websites distributed across the globe. However, the ever increasing number of websites in the Web has made it extremely ...
  • Representation and learning schemes for sentiment analysis. 

    Mukras, Rahman (The Robert Gordon University School of Computing, 2009-01)
    This thesis identifies four novel techniques of improving the performance of sentiment analysis of text systems. Thes include feature extraction and selection, enrichment of the document representation and exploitation of ...
  • A knowledge acquisition tool to assist case authoring from texts. 

    Asiimwe, Stella Maris (The Robert Gordon University School of Computing, 2009-03)
    Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without ...
  • Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. 

    Brownlee, Alexander Edward Ian (The Robert Gordon University School of Computing, 2009-05)
    A well-known paradigm for optimisation is the evolutionary algorithm (EA). An EA maintains a population of possible solutions to a problem which converges on a global optimum using biologically-inspired selection and ...
  • From Alice to BlueJ: a transition to Java 

    Rey, Jeanette S. (The Robert Gordon University School of Computing, 2009-06)
    The teaching of introductory courses in computing has seen several changes over the last decade. These changes not only affected the curricula when the emphasis was shifted from Imperative (also Procedural) to Object-Oriented ...
  • Hybrid algorithms for distributed constraint satisfaction. 

    Lee, David Alexander James (The Robert Gordon University School of Computing, 2010-04)
    A Distributed Constraint Satisfaction Problem (DisCSP) is a CSP which is divided into several inter-related complex local problems, each assigned to a different agent. Thus, each agent has knowledge of the variables and ...
  • A sequence-length sensitive approach to learning biological grammars using inductive logic programming. 

    Mamer, Thierry (Robert Gordon University School of Computing, 2011-01)
    This thesis aims to investigate if the ideas behind compression principles, such as the Minimum Description Length, can help us to improve the process of learning biological grammars from protein sequences using Inductive ...
  • Case reuse in textual case-based reasoning. 

    Adeyanju, Ibrahim Adepoju (Robert Gordon University School of Computing, 2011-08)
    Text reuse involves reasoning with textual solutions of previous problems to solve new similar problems. It is an integral part of textual case-based reasoning (TCBR), which applies the CBR problem-solving methodology ...
  • Related scientific information: a study on user-defined relevance. 

    Beresi, Ulises Cervino (Robert Gordon University School of Computing, 2011-09)
    This dissertation presents an investigation into the manifestations of relevance observed in the context of related scientific information. The main motivation is to observe if researchers, in the context of knowledge ...