Regularized Nyström subsampling in regression and ranking problems under general smoothness assumptions
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DOI: 10.1142/s021953051850029x
Abstract: In the supervised learning, the Nyström type subsampling is considered as a tool for reducing the computational complexity of regularized kernel methods in the big data setting. Up to now, the theoretical analysis of this… read more here.
Keywords: regression; regularized nystr; case; smoothness ... See more keywords