Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Kota Kawaratani, Shigeo Abe, "Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 3, pp. 3549, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.861366, author = {Kota Kawaratani and Shigeo Abe}, title = {Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {3}, year = {2000}, issn = {1098-7576}, pages = {3549}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861366}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids SN - 1098-7576 SP EP A1 - Kota Kawaratani, A1 - Shigeo Abe, PY - 2000 VL - 3 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Kota Kawaratani, Kobe University

Shigeo Abe, Kobe University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861366

In our previous work, we have dev eloped the backward feature selection method based on class regions approximated by ellipsoids. In this paper, we accelerate feature selection by the forward selection search, the symmetric Cholesky factorization, and deletion of duplicated calculations between consecutive factorizations. The feature selection for two data sets shows that our method is faster than and as robust as the previous method.

Citation:

Kota Kawaratani, Shigeo Abe, "Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids," ijcnn, vol. 3, pp.3549, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000

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