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Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment. (2013)
Thesis
REGNIER-COUDERT, O. 2013. Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment. Robert Gordon University, PhD thesis.

Over the last decades, Bayesian Networks (BNs) have become an increasingly popular technique to model data under presence of uncertainty. BNs are probabilistic models that represent relationships between variables by means of a node structure and a s... Read More about Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment..

Experimental user interface design toolkit for interaction research (IDTR). (2013)
Thesis
GOLOVINE, J.C.R.R. 2013. Experimental user interface design toolkit for interaction research (IDTR). Robert Gordon University, PhD thesis.

The research reported and discussed in this thesis represents a novel approach to User Interface evaluation and optimisation through cognitive modelling. This is achieved through the development and testing of a toolkit or platform titled Toolkit for... Read More about Experimental user interface design toolkit for interaction research (IDTR)..

Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence. (2013)
Thesis
FOURNIER, F.A. 2013. Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

This work investigates the use of evolved Bayesian networks learning algorithms based on computational intelligence meta-heuristic algorithms. These algorithms are applied to a new domain provided by the exclusive data, available to this project from... Read More about Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence..

Approximating true relevance model in relevance feedback. (2013)
Thesis
ZHANG, P. 2013. Approximating true relevance model in relevance feedback. Robert Gordon University, PhD thesis.

Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. Relevance-based language model aims... Read More about Approximating true relevance model in relevance feedback..

Automatic 3D facial modelling with deformable models. (2012)
Thesis
XIANG, G. 2012. Automatic 3D facial modelling with deformable models. Robert Gordon University, PhD thesis.

Facial modelling and animation has been an active research subject in computer graphics since the 1970s. Due to extremely complex biomechanical structures of human faces and peoples visual familiarity with human faces, modelling and animating realist... Read More about Automatic 3D facial modelling with deformable models..

Problem dependent metaheuristic performance in Bayesian network structure learning. (2012)
Thesis
WU, Y. 2012. Problem dependent metaheuristic performance in Bayesian network structure learning. Robert Gordon University, PhD thesis.

Bayesian network (BN) structure learning from data has been an active research area in the machine learning field in recent decades. Much of the research has considered BN structure learning as an optimization problem. However, the finding of optimal... Read More about Problem dependent metaheuristic performance in Bayesian network structure learning..

Situation awareness approach to context-aware case-based decision support. (2012)
Thesis
NWIABU, N.D. 2012. Situation awareness approach to context-aware case-based decision support. Robert Gordon University, PhD thesis.

Context-aware case-based decision support systems (CACBDSS) use the context of users as one of the features for similarity assessment to provide solutions to problems. The combination of a context-aware case-based reasoning (CBR) with general domain... Read More about Situation awareness approach to context-aware case-based decision support..

Related scientific information: a study on user-defined relevance. (2011)
Thesis
BERESI, U.C. 2011. Related scientific information: a study on user-defined relevance. Robert Gordon University, PhD thesis.

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 discovery, use different criteri... Read More about Related scientific information: a study on user-defined relevance..

Case reuse in textual case-based reasoning. (2011)
Thesis
ADEYANJU, I.A. 2011. Case reuse in textual case-based reasoning. Robert Gordon University, PhD thesis.

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 to situations where experiences... Read More about Case reuse in textual case-based reasoning..

A sequence-length sensitive approach to learning biological grammars using inductive logic programming. (2011)
Thesis
MAMER, T. 2011. A sequence-length sensitive approach to learning biological grammars using inductive logic programming. Robert Gordon University, PhD thesis.

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 Logic Programming (ILP). Con... Read More about A sequence-length sensitive approach to learning biological grammars using inductive logic programming..

Hybrid algorithms for distributed constraint satisfaction. (2010)
Thesis
LEE, D.A.J. 2010. Hybrid algorithms for distributed constraint satisfaction.. Robert Gordon University, PhD thesis.

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 corresponding domains of its l... Read More about Hybrid algorithms for distributed constraint satisfaction..

From Alice to BlueJ: a transition to Java. (2009)
Thesis
REY, J.S. 2009. From Alice to BlueJ: a transition to Java. Robert Gordon University, PhD thesis.

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 Programming (OOP) but al... Read More about From Alice to BlueJ: a transition to Java..

Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. (2009)
Thesis
BROWNLEE, A.E.I. 2009. Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. Robert Gordon University, PhD thesis.

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 reproduction operators. These alg... Read More about Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm..

A knowledge acquisition tool to assist case authoring from texts. (2009)
Thesis
ASIIMWE, S.M. 2009. A knowledge acquisition tool to assist case authoring from texts. Robert Gordon University, PhD thesis.

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 even thinking about it. For exa... Read More about A knowledge acquisition tool to assist case authoring from texts..

Representation and learning schemes for sentiment analysis. (2009)
Thesis
MUKRAS, R. 2009. Representation and learning schemes for sentiment analysis. Robert Gordon University, PhD thesis.

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 the ordinal structure of rat... Read More about Representation and learning schemes for sentiment analysis..

Self adapting websites: mining user access logs. (2008)
Thesis
BATHUMALAI, G. 2008. Self adapting websites: mining user access logs. Robert Gordon University, MRes thesis.

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 difficult for users to find th... Read More about Self adapting websites: mining user access logs..

Event and map content personalisation in a mobile and context-aware environment. (2008)
Thesis
BIERIG, R., 2008. Event and map content personalisation in a mobile and context-aware environment. Robert Gordon University, PhD thesis.

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 users characteristics to deliver content more focused to t... Read More about Event and map content personalisation in a mobile and context-aware environment..

An inductive logic programming approach to learning which uORFs regulate gene expression. (2008)
Thesis
SELPI 2008. An inductive logic programming approach to learning which uORFs regulate gene expression. Robert Gordon University, PhD thesis.

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. In order to get a compl... Read More about An inductive logic programming approach to learning which uORFs regulate gene expression..

Research and development of enhanced, integrated and accessible flow metering software for industry. (2007)
Thesis
OOD, D.C. 2007. Research and development of enhanced, integrated and accessible flow metering software for industry. Robert Gordon University, PhD thesis.

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. This included developing soft... Read More about Research and development of enhanced, integrated and accessible flow metering software for industry..

Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. (2007)
Thesis
CHAKRABORTI, S. 2007. Introspective knowledge acquisition for case retrieval networks in textual case base reasoning. Robert Gordon University, PhD thesis.

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 domain-specific knowledge to facili... Read More about Introspective knowledge acquisition for case retrieval networks in textual case base reasoning..