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Bayesian ANN Classifier for ECG Arrhythmia Diagnostic System: A Comparison Study
(2005)
Abstract¿This paper outlines a system for detection of cardiac arrhythmias within ECG signals, based on a Bayesian Artificial Neural Network (ANN) classifier. The Bayesian (or Probabilistic) ANN Classifier is built by the ...
An analysis of third-level multi-cultural interdisciplinary student learning outcomes using Wiki technology
(ILTA Irish Learning Technology Association, 2009-05-21)
The increasing need for effective collaboration among interdisciplinary groups suggests the necessity of developing teaching pedagogy that infuses teaching techniques with technologies. Combining Business and Engineering ...
Classification of a Target Analyte in Solid Mixtures using Principal Component Analysis, Support Vector Machines and Raman Spectroscopy
(2005)
The quantitative analysis of illicit materials using Raman spectroscopy is of widespread interest for law enforcement and healthcare applications. One of the difficulties faced when analysing illicit mixtures is the ...
Real-Time Fingerprint Analysis & Authentication for Embedded Appliances
(IEEE, 2007-04-10)
A complete fingerprint analysis system is described. The design and architecture of a loadable device driver for a USB fingerprint sensor is described. Image processing filters to enhance the raw image data and to extract ...
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 ...
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 ...