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Sparse support vector regression based on orthogonal forward selection for the generalised kernel model.

, , , and . Neurocomputing, 70 (1-3): 462-474 (2006)

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Experiments with repeating weighted boosting search for optimization signal processing applications., , and . IEEE Trans. Syst. Man Cybern. Part B, 35 (4): 682-693 (2005)Orthogonal Least Square with Boosting for Regression., , and . IDEAL, volume 3177 of Lecture Notes in Computer Science, page 593-599. Springer, (2004)Boosting Orthogonal Least Squares Regression.., and . IDEAL, volume 3177 of Lecture Notes in Computer Science, page 678-683. Springer, (2004)Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model., , , and . Int. J. Model. Identif. Control., 1 (4): 245-256 (2006)Identification of nonlinear systems using generalized kernel models., , , and . IEEE Trans. Control. Syst. Technol., 13 (3): 401-411 (2005)Incremental Neural Network Construction by Using Correlation as Cost Function., and . HIS, volume 105 of Frontiers in Artificial Intelligence and Applications, page 22-31. IOS Press, (2003)Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure., , , and . IEEE Trans. Neural Networks, 17 (6): 1652-1656 (2006)Sparse Generalized Kernel Modeling for Nonlinear Systems., , , and . CDC/ECC, page 2574-2579. IEEE, (2005)A Search Algorithm for Global Optimisation., , and . ICNC (2), volume 3611 of Lecture Notes in Computer Science, page 1122-1130. Springer, (2005)Sparse support vector regression based on orthogonal forward selection for the generalised kernel model., , , and . Neurocomputing, 70 (1-3): 462-474 (2006)