Tree Based Orthogonal Least Squares Regression with Repeated Weighted Boosting Search
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[1] Sheng Chen,et al. Experiments with repeating weighted boosting search for optimization signal processing applications , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[2] G. Karabulut,et al. Integrating flexible tree searches to orthogonal matching pursuit algorithm , 2006 .
[3] Sheng Chen,et al. Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model , 2006, Int. J. Model. Identif. Control..
[4] Jiaxin Wang,et al. Non-flat function estimation with a multi-scale support vector regression , 2006, Neurocomputing.
[5] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[6] Sheng Chen,et al. Regularized orthogonal least squares algorithm for constructing radial basis function networks , 1996 .
[7] Xia Hong,et al. Nonlinear model structure design and construction using orthogonal least squares and D-optimality design , 2002, IEEE Trans. Neural Networks.
[8] Sheng Chen,et al. Orthogonal least squares regression with tunable kernels , 2005 .
[9] Sheng Chen,et al. Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks , 1999, IEEE Trans. Neural Networks.
[10] Bhaskar D. Rao,et al. Application of tree-based searches to matching pursuit , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[11] Sheng Chen. Locally regularised orthogonal least squares algorithm for the construction of sparse kernel regression models , 2002, 6th International Conference on Signal Processing, 2002..
[12] Sheng Chen,et al. Local regularization assisted orthogonal least squares regression , 2006, Neurocomputing.
[13] Alexander J. Smola,et al. Regression estimation with support vector learning machines , 1996 .
[14] X. Wanga,et al. Sparse support vector regression based on orthogonal forward selection for the generalised kernel model , 2005 .
[15] Sheng Chen,et al. Orthogonal least squares methods and their application to non-linear system identification , 1989 .