Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training
Slobodan Vucetic and Zhuang Wang and Koby Crammer

Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training.pdf 304.58kB
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@article{13:100,author={Zhuang Wang and Koby Crammer and Slobodan Vucetic}, Title={Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training},journal={Journal of Machine Learning Research},volume={13}, url={http://www.jmlr.org/papers/volume13/wang12b/wang12b.pdf}}
Citation:
Vucetic, S., Wang, Z., & Crammer, K.. (2014). Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training [Data set]. Academic Torrents. https://academictorrents.com/details/dd455fdfb4bc66e32547d59dba4e95ef01bac8aa
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