Browsing Information Technology (Conference Papers) by Title
Now showing items 28-47 of 47
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A genetic algorithm with a multi-layered genotype-phenotype mapping
(SciTePress Digital Library, 2010-08-24)In this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers ... -
The Genetic Evolution of Kernels for Support Vector Machine Classifiers
(2004)Abstract. The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classi¿cation of data. One problem that faces the user of an SVM is how to choose a kernel and the speci¿c parameters for ... -
Identifying the reality gap between abstract and realistic models using evolved agents and simulated kilobots
(IEEE, 2018-12-12)A common challenge in evolutionary swarm robotics is the transfer of simulated results into real-world applications. This difficulty can arise in a variety of real-world settings and problems such as sensory differences in ... -
A learning architecture for scheduling workflow applications in the cloud
(IEEE, 2011-09-15)The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ... -
A Machine Learning Application for Classification of Chemical Spectra
(2008)This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ... -
Meme sentiment analysis enhanced with multimodal spatial encoding and facial embedding
(University of Galway, 2022-12-08)Internet memes are characterised by the interspersing of text amongst visual elements. State-of-the-art multimodal meme classifiers do not account for the relative positions of these elements across the two modalities, ... -
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ... -
Neural Network Approach to Predicting Stock Exchange Movements using External Factors
(2005)The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements in the Dow Jones Industrial Average index. The performance ... -
Neutrality through transcription and translation in genetic algorithm representation
(SciTePress Digital Library, 2012-10-05)This paper examines the use of the biological concepts of transcription and translation, to introduce neutrality into the representation of a genetic algorithm (GA). The aim of the paper is to attempt to identify problem ... -
On the Classification Performance of TAN and General Bayesian Networks
(2008)Over a decade ago, Friedman et al. introduced the Tree Augmented Naïve Bayes (TAN) classifier, with experiments indicating that it significantly outperformed Naïve Bayes (NB) in terms of classification ... -
One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation
(2007)Abstract. Population-based search methods such as evolutionary algorithms, shuffled complex algorithms, simulated annealing and ant colony search are increasingly used as automatic calibration methods ... -
The optional prisoner's dilemma in a spatial environment: Co-evolving game strategy and link weights
(SciTePress Digital Library, 2016)In this paper, the Optional Prisoner’s Dilemma game in a spatial environment, with coevolutionary rules for both the strategy and network links between agents, is studied. Using a Monte Carlo simulation approach, a number ... -
Particle swarm optimisation with gradually increasing directed neighbourhoods
(Association for Computing Machiner, 2011)Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the ... -
Player-Traced Empirical Cost-Surfaces for A* Pathfinding
(Eurosis, 2011)This paper discusses the use of empirical cost-surfaces derived from substantial amounts of player-traced movements in an online vehicular combat game, for the purposes of improving A* pathfinding by AI vehicles. The ... -
Probabilistic Detection of Short Events, with Application to Critical Care Monitoring
(2008)We describe an application of probabilistic modeling and inference technology to the problem of analyzing sensor data in the setting of an intensive care unit (ICU). In particular, we consider the arterial-line blood ... -
Probabilistic Modeling of Sensor Artifacts in Critical Care
(2008)We describe an application of probabilistic modeling and inference technology to the problem of analyzing sensor data in the setting of an intensive care unit (ICU). In particular, we consider the arterial-line blood ... -
Qualitative and Quantitative Analysis of Chlorinated Solvents using Raman Spectroscopy and Machine Learning
(2005)The unambiguous identification and quantification of hazardous materials is of increasing importance in many sectors such as waste disposal, pharmaceutical manufacturing, and environmental protection. One particular ... -
A survey of recent trends in one class classification
(Springer Verlag - LNAI, 2009-08)The One Class Classification (OCC) problem is di fferent from the conventional binary/multi-class classi fication problem in the sense that in OCC, the negative class is either not present or not properly sampled. The ... -
Using systems thinking, system dynamics and simulation for sustainability education: A study design
(System Dynamics Society, 2020-06-08)Education for Sustainable Development (ESD) is vital to the success of the United Nation¿s Sustainable Development Goals (SDGs). There is broad consensus that it requires active, participative and experiential learning ... -
The WCC Heuristic Evaluation Set - A Methodology for Evaluating the Usability of Web Communication and Collaboration (WCC) Groupware in Teaching and Learning.
(EdTech, 2007)A growing number of workplaces and educational environments are implementing virtual teams (VTs) or intend to in the future, and it is likely that most information workers will become part of a virtual team at some stage ...