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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 11 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
ICANN
2005
Springer
15 years 11 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
IUI
2004
ACM
15 years 11 months ago
Classifying and assessing tremor movements for applications in man-machine intelligent user interfaces
We introduce a new intelligent user interface (IUI) and, also, a new methodology to identify the fatigue state for healthy subjects. The fatigue state is determined by means of a ...
Dan Marius Dobrea, Horia-Nicolai L. Teodorescu
DAS
2010
Springer
15 years 9 months ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt
CSL
2008
Springer
15 years 6 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos