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Weighted least squares support vector machines: robustness and sparse approximation., , , and . Neurocomputing, 48 (1-4): 85-105 (2002)Robustness of kernel based regression: Influence and weight functions., , , , and . IJCNN, page 1-8. IEEE, (2012)Artificial neural networks for modelling and control of non-linear systems., , and . Kluwer, (1996)On-Line Learning Fokker-Planck Machine., , and . Neural Processing Letters, 7 (2): 81-89 (1998)Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface., , , , , and . Neurocomputing, (2012)Noise Level Estimation for Model Selection in Kernel PCA Denoising., , and . IEEE Trans. Neural Networks Learn. Syst., 26 (11): 2650-2663 (2015)Transductive Rademacher Complexities for Learning Over a Graph., and . MLG, (2007)Deep convolutional learning for general early design stage prediction models., , and . Adv. Eng. Informatics, (2019)Transductive LSTM for time-series prediction: An application to weather forecasting., and . Neural Networks, (2020)Improved performance on high-dimensional survival data by application of Survival-SVM., , , and . Bioinform., 27 (1): 87-94 (2011)