Sparse conjugate directions pursuit with application to fixed-size kernel models

This publication has 39 references indexed in Scilit:

• Orthogonal-least-squares regression: A unified approach for data modelling
  Neurocomputing, 2009
• Conjugate Direction Boosting
  Journal of Computational and Graphical Statistics, 2006
• Kernel matching pursuit for large datasets
  Pattern Recognition, 2005
• An Improved Conjugate Gradient Scheme to the Solution of Least Squares SVM
  IEEE Transactions on Neural Networks, 2005
• Weighted least squares support vector machines: robustness and sparse approximation
  Neurocomputing, 2002
• A new approach to variable selection in least squares problems
  IMA Journal of Numerical Analysis, 2000
• Recursive hybrid algorithm for non-linear system identification using radial basis function networks
  International Journal of Control, 1992
• Orthogonal least squares methods and their application to non-linear system identification
  International Journal of Control, 1989
• Clustering to minimize the maximum intercluster distance
  Theoretical Computer Science, 1985
• The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
  Technometrics, 1974