Browsing Information Technology (Conference Papers) by Title
Now showing items 12-31 of 34
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The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
(2005)The classi¿cation of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning, as the presence of high numbers of redundant or highly correlated ... -
Emotion Tracking for Remote Conferencing Applications using Neural Networks.
(The 21st National Conference on Artificial Intelligence and Cognitive Science, 2010-08-31)In face-to-face work, discussion and negotiation relies strongly on non-verbal feedback, which provides important clues to negotiation states such as agreement/disagreement and understanding/confusion, as well as indicating ... -
The Evolution of a Kernel-Based Distance Metric for k-NN Regression
(2007)k-Nearest Neighbours (k-NN) is a well understood and widely-used approach to classification and regression problems. In many cases, such applications of k-NN employ the standard Euclidean distance metric for the determination ... -
Evolution of cooperation in N-player social dilemmas: The importance of being mobile
(SciTePress Digital Library, 2016)This paper addresses issues regarding the emergence of cooperation in evolutionary, spatial game-theoretic simulations. In the model considered, agents participate in a social dilemma with their neighbours and have the ... -
An Evolutionary Approach to Automatic Kernel Construction
(2006)Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ... -
An evolutionary approach to formation control with mobile robots
(SciTePress Digital Library, 2016)The field of swarm robotics studies multi-robot systems, emphasising decentralised and self-organising behaviours that deal with limited individual abilities, local sensing and local communication. A robotic system needs ... -
Evolving Racetrack Knowledge in a Racing Game.
(21st National Conference on Artificial Intelligence and Cognitive Science, 2010-07-30)This paper discusses the use of a Genetic Algorithm (GA) to evolve waypoint-based racing lines for computer-controlled cars in an online game. One goal is the reduction of developer effort, in order to automatically produce ... -
Experimental Assessment of an Emotion Tracking Software Agent (ETA) for Assisting Communicative Interactions of Multitasking Users in Groupware
(Eurosis, 2011-08-22)Interactions such as discussion and negotiation in face-to-face work contexts strongly rely on non-verbal feedback. Such feedback provides indications of important negotiation states such as agreement or disagreement and ... -
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 ... -
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 ... -
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 ... -
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 ...