Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Discriminant Adaptive Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Prototype selection for composite nearest neighbor classifiers
Prototype selection for composite nearest neighbor classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Making large-scale support vector machine learning practical
Advances in kernel methods
The how and why of electronic noses
IEEE Spectrum
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning pattern classification-a survey
IEEE Transactions on Information Theory
Using data images for outlier detection
Computational Statistics & Data Analysis - Data visualization
Computational Statistics & Data Analysis - Data visualization
Integrated Sensing and Processing Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Detection of the presence of a single prespecified chemical analyte at low concentration in complex backgrounds is a difficult application for chemical sensors. This article considers a database of artificial nose observations designed specifically to allow for the investigation of chemical sensor data analysis performance on the problem of trichloroethylene (TCE) detection. We consider an approach to this application which uses an ensemble of subsample classifiers based on interpoint distances. Experimental results are presented indicating that our nonparametric methodology is a useful tool in olfactory classification.