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Deep convolutional learning for general early design stage prediction models., , and . Adv. Eng. Informatics, (2019)Optimized fixed-size kernel models for large data sets., , , and . Comput. Stat. Data Anal., 54 (6): 1484-1504 (2010)Noise Level Estimation for Model Selection in Kernel PCA Denoising., , and . IEEE Trans. Neural Networks Learn. Syst., 26 (11): 2650-2663 (2015)Improved performance on high-dimensional survival data by application of Survival-SVM., , , and . Bioinform., 27 (1): 87-94 (2011)Transductive Rademacher Complexities for Learning Over a Graph., and . MLG, (2007)Disentangled Representation Learning and Generation with Manifold Optimization., , , and . CoRR, (2020)Transductive LSTM for time-series prediction: An application to weather forecasting., and . Neural Networks, (2020)Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization., , , and . J. Mach. Learn. Res., (2019)Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values., , and . IEEE Trans. Neural Networks Learn. Syst., 28 (7): 1584-1593 (2017)Weighted least squares support vector machines: robustness and sparse approximation., , , and . Neurocomputing, 48 (1-4): 85-105 (2002)