Fabrice Rossi. Attribute suppression with multilayer perceptron. In CESA Multiconference, volume Symposium on Robotics and Cybernetics, pages 542--547, Lille-France, July 1996. IMACS.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....whose cardinality is N . The proposed choice criterion is: Feature Selection with Neural Networks Philippe Leray and Patrick Gallinari 15 S i = f x i (x l ) 2 l =1 N max j f xj (x l ) 2 l =1 N (5.2. 8) For classification, Rossi (1996), following a proposition made by Priddy et al. 1993) considers only the patterns which are near the class frontiers. He proposes the following relevance measure: S g f x f x i j i l j l j g frontier l = 1 1 ( x x x (5.2.9) The frontier is defined as the set of ....

Rossi, F. (1996). Attribute Suppression with Multi-Layer Perceptron. In Proceedings of IEEEIMACS '96, Lille, France.

....Available at http: apiacoa.org publications 1997 icannaga97.pdf review these methods but to work on problems that cannot be correctly solved with linear tools. When the classifier is non linear, the problem is more complex and several neural based method have been proposed to solve it (e.g. [2, 7, 8]) In this paper, we propose an extension of a previously introduced method [8] and compare it with other neural approaches and with a statistical method which was proposed in the neural network community [1] The remainder of this paper is organized as follows. Section 2 introduces the ....

....but to work on problems that cannot be correctly solved with linear tools. When the classifier is non linear, the problem is more complex and several neural based method have been proposed to solve it (e.g. 2, 7, 8] In this paper, we propose an extension of a previously introduced method [8] and compare it with other neural approaches and with a statistical method which was proposed in the neural network community [1] The remainder of this paper is organized as follows. Section 2 introduces the mathematical aspect of our variable selection method and compares it to existing ....

[Article contains additional citation context not shown here]

Fabrice Rossi. Attribute suppression with multilayer perceptron. In CESA Multiconference, volume Symposium on Robotics and Cybernetics, pages 542--547, Lille-France, July 1996. IMACS.

....solved with linear tools. When This work was performed on Mrs Kim K. PHAM s responsibility, at THOMSON CSF AIRSYS. To be published in ICANNGA 97 Proceedings. the classifier is non linear, the problem is more complex and several neural based method have been proposed to solve it (e.g. [2, 7, 8]) In this paper, we propose an extension of a previously introduced method [8] and compare it with other neural approaches and with a statistical method which was proposed in the neural network community [1] The remainder of this paper is organized as follows. Section 2 introduces the ....

....responsibility, at THOMSON CSF AIRSYS. To be published in ICANNGA 97 Proceedings. the classifier is non linear, the problem is more complex and several neural based method have been proposed to solve it (e.g. 2, 7, 8] In this paper, we propose an extension of a previously introduced method [8] and compare it with other neural approaches and with a statistical method which was proposed in the neural network community [1] The remainder of this paper is organized as follows. Section 2 introduces the mathematical aspect of our variable selection method and compares it to existing methods. ....

[Article contains additional citation context not shown here]

Fabrice Rossi. Attribute suppression with multilayer perceptron. In CESA Multiconference, volume Symposium on Robotics and Cybernetics, pages 542--547, Lille-France, July 1996. IMACS.

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ROS96 F. Rossi, Attribute Suppression with Multi-Layer Perceptron, in Proceedings of IEEE-IMACS'96, Lille, France, 1996.

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