title: Real AdaBoost with gate controlled fusion.
abstract: In this brief, we propose to increase the capabilities of standard real AdaBoost (RAB) architectures by replacing their linear combinations with a fusion controlled by a gate with fixed kernels. Experimental results in a series of well-known benchmark problems support the effectiveness of this approach in improving classification performance. Although the need for cross-validation processes obviously leads to higher training requirements and more computational effort, the operation load is never much higher; in many cases it is even lower than that of competitive RAB schemes.
authors.forename: Efraín
authors.initials: E
authors.lastname: Mayhua-López
authors.forename: Vanessa
authors.initials: V
authors.lastname: Gómez-Verdejo
authors.forename: Aníbal R
authors.initials: AR
authors.lastname: Figueiras-Vidal