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Improving Boosting Methods by Generating Specific Training and Validation Sets.

, , and . ICONIP (2), volume 7063 of Lecture Notes in Computer Science, page 580-587. Springer, (2011)

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New Results on Ensembles of Multilayer Feedforward., , and . ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 139-144. Springer, (2005)Decision Fusion on Boosting Ensembles., , and . ANNPR, volume 5064 of Lecture Notes in Computer Science, page 157-167. Springer, (2008)An Empirical Comparison of Training Algorithms for Radial Basis Functions., , and . IWANN (2), volume 2687 of Lecture Notes in Computer Science, page 129-136. Springer, (2003)Coding the outputs of multilayer feedforward., and . ESANN, page 113-118. (2001)Influence of weight-decay training in input selection methods., and . ESANN, page 135-140. (2000)On the selection of meaningful speech parameters used by a pathologic/non pathologic voice register classifier., , , , and . EUROSPEECH, page 563-566. ISCA, (1999)Input selection by multilayer feedforward trained networks., and . IJCNN, page 1834-1839. IEEE, (1999)Gradient Descent Training of Radial Basis Functions., , , and . ISNN (1), volume 3173 of Lecture Notes in Computer Science, page 229-234. Springer, (2004)Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization., , and . ANNPR, volume 4087 of Lecture Notes in Computer Science, page 210-220. Springer, (2006)Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution., , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 119-126. Springer, (2007)