A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems

21 Jan 2014Cong LiMichael GeorgiopoulosGeorgios C. Anagnostopoulos

Over the past few years, Multi-Kernel Learning (MKL) has received significant attention among data-driven feature selection techniques in the context of kernel-based learning. MKL formulations have been devised and solved for a broad spectrum of machine learning problems, including Multi-Task Learning (MTL)... (read more)

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