Error bound of magnitude-preserving ranking with Fredholm kernel
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DOI: 10.1016/j.neucom.2017.07.049
Abstract: Abstract Data-dependent Fredholm kernel has attracted much attention in machine learning literatures for its flexibility to utilize the empirical information. However, the previous theoretical results are limited to the classification or density ratio estimation problems.… read more here.
Keywords: ranking fredholm; error bound; preserving ranking; fredholm kernel ... See more keywords