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Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data

dc.contributor.authorMartínez Estudillo, Francisco José 
dc.date.accessioned2019-02-04T15:13:51Z
dc.date.available2019-02-04T15:13:51Z
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/20.500.12412/297
dc.language.isoenges
dc.publisherIeee Computer Society Presses
dc.relation.ispartofseriesEigth International Conference on Hybrid Intelligent Systemses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleFeature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Dataes
dc.typebookPartes
dc.page.initial1581es
dc.page.final1588es
dc.rights.accessRightsopenAccesses


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional