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Conference papers
Optimal Brain Surgeon Variants for Feature Selection
Abstract : This paper presents three pruning algorithms based on Optimal Brain Surgeon (OBS) and Unit-Optimal Brain Surgeon (Unit-OBS). The first variant performs a backward selection by successively removing single weights from the input variables to the hidden units in a fully connected multilayer perceptron (MLP) for variable selection. The second one removes a subset of non-significant weights in one step. The last one combines the two properties presented above. Simulation results obtained on the Monk's problem illustrate the specificities of each method described in this paper according to the preserved variables and the preserved weights.
https://hal.inria.fr/inria-00099923
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 10:09:46 AM
Last modification on : Monday, April 19, 2021 - 5:30:05 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 1:19:39 PM
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 10:09:46 AM
Last modification on : Monday, April 19, 2021 - 5:30:05 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 1:19:39 PM