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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms
verfasst von : Eduardo Alba-Cabrera, Julio Ibarra-Fiallo, Salvador Godoy-Calderon
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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Although the general relevance of Testor Theory as the theoretical ground for useful feature selection procedures is well known, there are no practical means, nor any standard methodologies, for assessing the behavior of a testor-finding algorithm when faced with specific circumstances. In this work, we present a practical framework, with proven theoretical foundation, for assessing the behavior of both deterministic and meta-heuristic testor-finding algorithms when faced with specific phenomena.