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Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.

Ángel Navia-VázquezFernando Pérez-CruzAntonio Artés-RodríguezAníbal R. Figueiras-Vidal
Published in: IEEE Trans. Neural Networks (2001)
Keyphrases
  • weighted least squares
  • least squares
  • training set
  • supervised learning
  • missing data
  • training process
  • conjugate gradient
  • data sets
  • feature selection
  • upper bound
  • generalization error
  • error function