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Possibility and Necessity Pattern Classification using an Interval Arithmetic Perceptron., and . Neural Comput. Appl., 8 (1): 40-52 (1999)Support Vector Machines: A Comparison of Some Kernel Functions., , and . IIA/SOCO, ICSC Academic Press, Rochester, NY, USA, (1999)Solving linear equation systems on vector computers with maximum efficiency., , , , and . Parallel Comput., 8 (1-3): 133-139 (1988)Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers., , , and . Pattern Recognit. Lett., (2014)Pruning and rule extraction using class entropy., , , and . ICNN, page 250-256. IEEE, (1993)Do we really need a new theory to understand over-parameterization?, , and . Neurocomputing, (July 2023)Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters., , , and . IJCNN, page 1-4. IEEE, (2015)Using K-Winner Machines for domain analysis., and . Neurocomputing, (2004)Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency., , , and . Neurocomputing, (2015)K-winner machines for pattern classification., , and . IEEE Trans. Neural Networks, 12 (2): 371-385 (2001)