Energy Supervised Relevance Neural Gas for Feature Ranking

Author:

Caţaron Angel,Andonie Răzvan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference40 articles.

1. Andonie R, Caţaron A (2004) An informational energy LVQ approach for feature ranking. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2004), Bruges, Belgium, pp 471–476

2. Andonie R, Caţaron A (2005) Feature ranking using supervised neural gas and informational energy. In: Proceedings of International Joint Conference on Neural Networks (IJCNN2005), Montreal, Canada, July 31–August 4, pp 1269–1273

3. Andonie R, Petrescu F (1986) Interacting systems and informational energy. Found Control Eng 11: 53–59

4. Asuncion A, Newman DJ (2007) UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences. Available: http://mlearn.ics.uci.edu/MLRepository.html , 2007

5. Battiti R. (1994) Using mutual information for selecting features in supervised neural network training. IEEE Trans Neural Netw 5: 537–550

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