Simple Recurrent Neural Networks for Support Vector Machine Training

Author:

Sifa Rafet,Paurat Daniel,Trabold Daniel,Bauckhage Christian

Publisher

Springer International Publishing

Reference18 articles.

1. Anguita, D., Boni, A.: Improved neural network for SVM learning. IEEE Trans. Neural Netw. 13(2), 1243–1244 (2002)

2. Lecture Notes in Computer Science;C Bauckhage,2017

3. Bauckhage, C.: The dual problem of $$L_2$$L2 SVM training. Technical report, ResearchGate (2018)

4. Bishop, C.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)

5. Clarkson, K.: Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm. ACM Trans. Algorithms 6(4), 63:1–63:30 (2010)

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1. Novelty Discovery with Kernel Minimum Enclosing Balls;Lecture Notes in Computer Science;2020

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