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Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
The rapid rise of IoT and Big Data has facilitated copious data driven a...
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Scalable Kernel Learning via the Discriminant Information
Kernel approximation methods have been popular techniques for scalable k...
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Supervising Nyström Methods via Negative Margin Support Vector Selection
Pattern recognition on big data can be challenging for kernel machines a...
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