Search
Now showing items 21-30 of 203
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 ...
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 ...
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 ...
A Data-Driven Exploration of Factors Affecting Student Performance in a Third-Level Institution
(2008)
This paper describes an application of data mining techniques to the analysis of student academic records, collected at Limerick Institute of Technology, with the goal of acquiring clearer, evidence-based ...
Effect of eddy length scale on mechanical loading of blood cells in turbulent flow
(2009)
Non-physiological turbulent blood flow is known to occur in and near implanted cardiovascular devices, but its effects on blood are poorly understood.
The objective of this work is to investigate the effect of turbulent ...
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 ...
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 ...
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 ...
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 ...