Kittler, J. (1980). Computational problems of feature selection pertaining to large data sets. In E. S. Gelsema, & L. N. Kanal (Eds.), Proceedings of pattern recognition in practice (pp. 405--414). Amsterdam: Elsevier. Home/Search Document Not in Database Summary Related Articles Check |
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Assessing the Importance of Features for Multi-Layer.. - Egmont-Petersen.. (1998) (Correct)
....Centre, P.O.B. 9600, NL 2300 RC Leiden, The Netherlands; E mail: michael lkeb.azl.nl. 0893 6080 98 19.00 # 1998 Elsevier Science Ltd. All rights reserved. PII S0893 6080(98)00031 8 Neural Networks 11 (1998) 623 635 PERGAMON Neural Networks 1987; Holz et al. 1994; Karthaus et al. 1995; Kittler, 1980; Kudo et al. 1993; Siedlecki et al. 1988, 1989; Stahlberger et al. 1997) The best subset of features is obtained by a feature selection procedure. Such a procedure investigates different subsets of features according to a search scheme. At each step, the feature subsets are compared according ....
Kittler, J. (1980). Computational problems of feature selection pertaining to large data sets. In E. S. Gelsema, & L. N. Kanal (Eds.), Proceedings of pattern recognition in practice (pp. 405--414). Amsterdam: Elsevier.
Learning Boolean Concepts in the Presence of Many.. - Almuallim, Dietterich (1994) (42 citations) (Correct)
....a given criterion has long been known in the field of pattern recognition as the problem of feature selection or dimensionality reduction. However, most feature selection criteria in pattern recognition are defined with respect to a specific classifier or group of classifiers. For example, [14] shows methods for selecting a small subset of features that optimizes the expected error of the nearest neighbor classifier. Similar work has addressed feature selection for the Box classifier [11] the linear classifier [12] and the Bayes classifier [22] Other work (aimed at removing feature ....
J. Kittler, Computational Problems of Feature Selection Pertaining to Large Data Sets, in: E. S. Gelsma and L. N. Kanal, eds., Pattern Recognition in Practice, (NorthHolland, Amsterdam, 1980) 405--414.
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