In this paper, an effective research around the utilization of the Perceptron paradigm as a method for feature selection is carried out. The idea is training a ...

Abstract. Feature selection has become a relevant and challenging problem for the area of knowledge discovery in database. An effective feature selection.

Bibliographic details on Power System Database Feature Selection Using a Relaxed Perceptron Paradigm.

Feature selection has become a relevant and challenging problem for the area of knowledge discovery in database. An effective feature selection strategy can ...

This approach tends to be computationally expensive (since the algorithm is trained for each subset of features to test), and the selected features are ...

Feature selection-ranking methods in a very large electric database. M Mejía ... Power system database feature selection using a relaxed perceptron paradigm.

Nov 2, 2009 · Arroyo-Figueroa. Power System Database Feature Selection Using a Relaxed Perceptron Paradigm. In Proceedings of 5th Mexican International ...

This paper presents a variation of Pulse-Coupled Neural Network to solve the shortest path problem in an efficient way. This variant has a dynamic auto-wave ...

Feature selection-ranking methods in a very large electric database. M Mejía ... Power system database feature selection using a relaxed perceptron paradigm.

Power system database feature selection using a relaxed perceptron paradigmmore. by Gustavo Arroyo-Figueroa. Page 1. A. Gelbukh and CA Reyes-Garcia (Eds ...