Feature selection for high-dimensional data
Author:
Funder
Ministerio de Economía y Competitividad
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s13748-015-0080-y.pdf
Reference77 articles.
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2. Bahamonde, A., Bayn, G. F., Dez, J., Quevedo, J.R., Luaces, O., Del Coz, J.J., Goyache, F.: Feature subset selection for learning preferences: A case study. In: Proceedings of the International conference on Machine learning, p. 7. ACM (2004)
3. Banerjee, M., Chakravarty, S.: Privacy preserving feature selection for distributed data using virtual dimension. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 2281–2284. ACM (2011)
4. Bellman, R.E.: Adaptive control processes: a guided tour, vol. 4, p. 5. Princeton University Press (1961)
5. Bolón-Canedo, V., Sánchez-Maroño, N., Alonso-Betanzos, A.: Distributed feature selection: an application to microarray data classification. Appl. Soft Comput. 30
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