Browsing Computer Science Technical Reports by Title
Now showing items 87-106 of 280
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Diversity in Ensemble Feature Selection
(Trinity College Dublin, Department of Computer Science, 2003)Ensembles of learnt models constitute one of the main current directions in machine learning and data mining. Ensembles allow us to achieve higher accuracy, which is often not achievable with single models. It was shown ... -
Diversity versus Quality in Classification Ensembles based on Feature Selection
(Trinity College Dublin, Department of Computer Science, 2000-01)Feature subset-selection has emerged as a useful technique for creating diversity in ensembles ? particularly in classification ensembles. In this paper we argue that this diversity needs to be monitored in the creation ... -
Does Relevance Matter to Data Mining Research?
(Trinity College Dublin, Department of Computer Science, 2006)Data mining (DM) and knowledge discovery are intelligent tools that help to accumulate and process data and make use of it. We review several existing frameworks for DM research that originate from different paradigms. ... -
?Drawing Illusions? ? a case study in the incorrectness of diagrammatic reasoning
(Trinity College Dublin, Department of Computer Science, 1999-03)In ?Something to Reckon With? [6], a system for diagramming syllogistic inferences using straight line segments is presented (see also Englebretsen [5]). In the light of recent research on the representational power of ... -
Dublin Bus Tracking Service: Design and implementation of a device independent passenger information system
(Trinity College Dublin. Department of Computer Science, 2000-09)Traditionally public transport has been perceived as the less desirable alternative to the car. The environmental argument of using public transport has not led to a significant increase in the usage of public transport. ... -
A Dynamic Approach to Reducing Dialog in On-Line Decision Guides
(Trinity College Dublin, Department of Computer Science, 2000-03)Online decision guides typically ask too many questions of the user, as they make no attempt to focus the questions. We describe some approaches to minimising the questions asked of a user in an online query situation. ... -
Dynamic Integration of Classifiers for Tracking Concept Drift in Antibiotic Resistance Data
(Trinity College Dublin, Department of Computer Science, 2005-02-17)In the real world concepts are often not stable but change with time. A typical example of this in the medical context is antibiotic resistance, where pathogen sensitivity may change over time as new pathogen strains ... -
Dynamic Integration of Classifiers in the Space of Principal Components
(Trinity College Dublin, Department of Computer Science, 2003)Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble to be successful, it should consist of ... -
Dynamic Integration of Regression Models
(Trinity College Dublin, Department of Computer Science, 2004-03-26)In this paper we adapt the recently proposed Dynamic Integration ensemble techniques for regression problems and compare their performance to the base models and to the popular ensemble technique of Stacked Regression. We ... -
Dynamic Integration with Random Forests
(Trinity College Dublin, Department of Computer Science, 2006)Random Forests are a successful ensemble prediction technique that combines two sources of randomness to generate base decision trees; bootstrapping instances for each tree and considering a random subset of features ... -
ECUE: A Spam Filter that Uses Machine Learning to Track Concept Drift
(Trinity College Dublin, Department of Computer Science, 2006-02-10)While text classification has been identified for some time as a promising application area for Artificial Intelligence, so far few deployed applications have been described. In this paper we present a spam filtering ... -
Efficient Prediction-Based Validation for Document Clustering
(Trinity College Dublin, Department of Computer Science, 2006-05-02)Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational cost of generating and assessing multiple ... -
Epistemological Pitfalls in Metaphor Comprehension: A Comparison of Three Models and a New Theory of Metaphor
(Trinity College Dublin, Department of Computer Science, 1995-12)[Introduction] If metaphor is to be viewed as a fundamental cognitive agency, as recent work suggests, what ramifications does this view have for a model of semantic memory? This paper presents a computational treatment ... -
The Epoch Interpretation of Learning
(Trinity College Dublin, Department of Computer Science, 1998-06)In this paper we propose a simple, alternative interpretation of backpropagation learning. We call this the ?epoch interpretation of learning? and show how it can be used to improve the performance of earlystopping based ... -
Evaluating Density Forecasting Models
(Trinity College Dublin, Department of Computer Science, 2006-05-02)Density forecasting in regression is gaining popularity as real world applications demand an estimate of the level of uncertainty in predictions. In this paper we describe the two goals of density forecasting1 sharpness ... -
An Evaluation of AOP for Java-based Real-time Systems Development
(Trinity College Dublin. Department of Computer Science, 2003-09)Advances in programming language have improved the software developer?s ability to achieve separation of concerns (SOC). Although object-oriented (OO) technology offers greater ability than previous language paradigms ... -
Evaluation of Aspect-Oriented Software Development for Distributed Systems
(Trinity College Dublin. Department of Computer Science, 2002-09)Problems relating to the issue of modularity result in the underperformance of the object-oriented software development paradigm. Aspect-oriented software development (AOSD) is a new technology for the separation of ... -
An Evaluation of Caching Strategies for Clustered Web Servers
(Trinity College Dublin. Department of Computer Science, 2001-09)The exponential growth of the Internet and the increasing demands put upon Web servers has created the need for a scalable clustered Web servers. In this paper we attempt to analyse the important issues facing the ... -
An Evaluation of the Usefulness of Case-Based Explanation
(Trinity College Dublin, Department of Computer Science, 2003)One of the perceived benefits of Case-Based Reasoning (CBR) is the potential to use retrieved cases to explain predictions. Surprisingly, this aspect of CBR has not been much researched. There has been some early work on ... -
An Evaluation of the Usefulness of Explanation in a CBR System for Decision Support in Bronchiolitis Treatment
(Trinity College Dublin, Department of Computer Science, 2006-04-04)The research presented here explores the hypothesis that the deployment and acceptance of decision support systems in medicine will be enhanced if the basis for the recommendation produced by the system is apparent. We ...
