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Learning Hardware-Friendly Classifiers Through Algorithmic Stability.

, , and . ACM Trans. Embedded Comput. Syst., 15 (2): 23:1-23:29 (2016)

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Possibility and Necessity Pattern Classification using an Interval Arithmetic Perceptron., and . Neural Computing and Applications, 8 (1): 40-52 (1999)The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers., , , and . NIPS, page 585-593. (2011)Support Vector Machines: A Comparison of Some Kernel Functions., , and . IIA/SOCO, ICSC Academic Press, Rochester, NY, USA, (1999)Learning with few bits on small-scale devices: From regularization to energy efficiency., , , and . ESANN, (2014)Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers., , , and . Pattern Recognition Letters, (2014)Statistically controlled activation weight initialization (SCAWI)., and . IEEE Trans. Neural Networks, 3 (4): 627-631 (1992)Digital implementation of hierarchical vector quantization., , and . IEEE Trans. Neural Networks, 14 (5): 1072-1084 (2003)K-winner machines for pattern classification., , and . IEEE Trans. Neural Networks, 12 (2): 371-385 (2001)Solving linear equation systems on vector computers with maximum efficiency., , , , and . Parallel Computing, 8 (1-3): 133-139 (1988)Using K-Winner Machines for domain analysis., and . Neurocomputing, (2004)