Stochastic Subgradient Estimation Training for Support Vector Machines
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Publication:4922840
DOI10.1007/978-1-4614-5076-4_5zbMath1264.68134arXiv1111.0432OpenAlexW91139740MaRDI QIDQ4922840
Sangkyun Lee, Stephen J. Wright
Publication date: 4 June 2013
Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1111.0432
Estimation in multivariate analysis (62H12) Learning and adaptive systems in artificial intelligence (68T05)
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Uses Software
Cites Work
- Pegasos: primal estimated sub-gradient solver for SVM
- Sparse kernel SVMs via cutting-plane training
- Cutting-plane training of structural SVMs
- Robust Stochastic Approximation Approach to Stochastic Programming
- Training a Support Vector Machine in the Primal
- A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
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