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Nested Sequential Minimal Optimization for Support Vector Machines.

, , , , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 156-163. Springer, (2012)

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Global Rademacher Complexity Bounds: From Slow to Fast Convergence Rates., , , and . Neural Processing Letters, 43 (2): 567-602 (2016)A support vector machine with integer parameters., , , and . Neurocomputing, 72 (1-3): 480-489 (2008)A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers., , , , and . ICANN, volume 8131 of Lecture Notes in Computer Science, page 434-441. Springer, (2013)A Learning Machine with a Bit-Based Hypothesis Space., , , and . ESANN, (2013)Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs., , , and . ESANN, (2015)Human Activity Recognition Using Smartphones., , , , and . (December 2012)Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers., , , and . Pattern Recognit. Lett., (2014)Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression., , and . IEEE Trans. Smart Grid, 4 (1): 549-556 (2013)Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions., , , , , and . ICANN, volume 8681 of Lecture Notes in Computer Science, page 177-184. Springer, (2014)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)