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Separable Approximate Optimization of Support Vector Machines for Distributed Sensing.

, , and . ECML/PKDD (2), volume 7524 of Lecture Notes in Computer Science, page 387-402. Springer, (2012)

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ICA-Based Spatio-temporal Features for EEG Signals., and . ICONIP (2), volume 4985 of Lecture Notes in Computer Science, page 915-920. Springer, (2007)Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems., and . CoRR, (2019)ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines., and . ICPRAM (1), page 223-228. SciTePress, (2012)Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning., and . ICML, page 1121-1128. Omnipress, (2011)Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines, and . Pattern Recognition Applications and Methods - Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers, page 93--109. (2014)Kernel Completion for Learning Consensus Support Vector Machines in Bandwidth-limited Sensor Networks, and . ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, ESEO, Angers, Loire Valley, France, 6-8 March, 2014, page 113--124. (2014)Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration., and . IJCAI, page 3185-3191. ijcai.org, (2022)Improving Confidence of Dual Averaging Stochastic Online Learning via Aggregation.. KI, volume 7526 of Lecture Notes in Computer Science, page 229-232. Springer, (2012)Knowledge Discovery from Complex High Dimensional Data., and . Solving Large Scale Learning Tasks, volume 9580 of Lecture Notes in Computer Science, page 148-167. Springer, (2016)Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines., and . ECML/PKDD (2), volume 5782 of Lecture Notes in Computer Science, page 1-14. Springer, (2009)