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Erschienen in:
2009 | OriginalPaper | Buchkapitel
BR: A New Method for Computing All Typical Testors
verfasst von : Alexsey Lias-Rodríguez, Aurora Pons-Porrata
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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Typical testors are very useful in Pattern Recognition, especially for Feature Selection problems. The complexity of computing all typical testors of a training matrix has an exponential growth with respect to the number of features. Several methods that speed up the calculation of the set of all typical testors have been developed, but nowadays, there are still problems where this set is impossible to find. With this aim, a new external scale algorithm
BR
is proposed. The experimental results demonstrate that this method clearly outperforms the two best algorithms reported in the literature.