Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Dynamic Oscillating Search Algorithm for Feature Selection

Typ:
Conference paper
Proceedings name:
ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition)
Publisher:
IEEE Computer Society
Serie:
Tampa, Florida
Year:
2008
Keywords:
feature selection, subset search, sequential search, oscilla
Anotation:
We introduce a new feature selection method suitable for non-monotonic criteria, i.e., for Wrapper-based feature selection. Inspired by Oscillating Search, the Dynamic Oscillating Search: (i) is deterministic, (ii) optimizes subset size, (iii) has built-in preference of smaller subsets, (iv) has higher optimization performance than other sequential methods. We show that the new algorithm is capable of over-performing older methods not only in criterion maximization ability but in some cases also in obtaining subsets that generalize better.
 
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