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Francis bach - PowerPoint PPT Presentation


Semi-Stochastic Gradient Descent Methods

Semi-Stochastic Gradient Descent Methods

SIAM Annual Meeting, Chicago July 7, 2014. Semi-Stochastic Gradient Descent Methods. Jakub Kone čný (joint work with Peter Richt árik ) University of Edinburgh. Introduction. Large scale problem setting. Problems are often structured Frequently arising in machine learning. is BIG.

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581 views • 30 slides



On Multiple Kernel Learning with Multiple Labels

On Multiple Kernel Learning with Multiple Labels

On Multiple Kernel Learning with Multiple Labels. Lei Tang , Jianhui Chen and Jieping Ye. Kernel-based Methods. Kernel-based methods Support Vector Machine (SVM) Kernel Linear Discriminate Analysis (KLDA) Demonstrate success in various domains Text, Images, micro-array

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431 views • 20 slides


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