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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 ...
The Automatic Morphological Description and Classification of Archaeological Monuments from Vertical Aerial Photographs.
(OESI/IMVIP, 1998)
For most of this century, aerial photography has been an important technique for the discovery, recording and analysis of archaeological sites. For many regions there are vast archives of aerial photographs available; ...
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 ...
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 ...
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 ...