Unsupervised learning of prototypes and attribute weights

Author:

Frigui Hichem,Nasraoui Olfa

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference18 articles.

1. H. Almuallim, T.G. Dietterich, Learning with many irrelevant features, in: Ninth National Conference on Artificial Intelligence, 1991, pp. 547–552.

2. K. Kira, L.A. Rendell, The feature selection problem: traditional methods and a new algorithm, in: Tenth National Conference on Artificial Intelligence, 1992, pp. 129–134.

3. L.A. Rendell, K. Kira, A practical approach to feature selection, in: International Conference on Machine Learning, 1992, pp. 249–256.

4. A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms;Wettschereck;Artif. Intell. Rev.,1997

5. Context sensitive feature selection for lazy learners;Domingos;Artif. Intell. Rev.,1997

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