Skip to Main content Skip to Navigation
Conference papers

Optimal Linear Combination for Two-Class Classifiers

Abstract : Combining output classifiers has been one of the strategies used to outperform classifications rates on general purpose classification problems. In this paper we propose two linear combination rules that minimize the classifocation error under some constraints in two-class classifiers.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/inria-00179484
Contributor : Oriol Ramos Terrades <>
Submitted on : Monday, October 15, 2007 - 3:56:38 PM
Last modification on : Monday, March 29, 2021 - 11:50:03 AM

Identifiers

  • HAL Id : inria-00179484, version 1

Collections

Citation

Oriol Ramos Terrades, Salvatore Tabbone, Ernest Valveny. Optimal Linear Combination for Two-Class Classifiers. Sixth International Conference on Advances in Pattern Recognition - ICAPR 2007, Jan 2007, Kolkata, India. ⟨inria-00179484⟩

Share

Metrics

Record views

158