A. Lambrechts

Bayesian interpretation of least squares support vector machines for financial time series prediction

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2001 .

Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2002, Neural Computation.

Financial time series prediction using least squares support vector machines within the evidence framework

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2001, IEEE Trans. Neural Networks.

Multiclass LS-SVMs: Moderated Outputs and Coding-Decoding Schemes

Johan A. K. Suykens, Joos Vandewalle, Bart De Moor, 2002, Neural Processing Letters.

Financial time series prediction using least squares support vector machines within the evidence framework

Gert R. G. Lanckriet, J. Suykens, B. Moor, 2001, IEEE Trans. Neural Networks.