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Oznake: computer science;machine learning
We show that the widely used Kendall tau correlation coefficient is a positive definite kernel for permutations. It offers a computationally attractive alternative to more complex kernels on the symmetric group to learn from rankings, or to learn to rank. We show how to extend it to partial rankings ...
Leto: 2015 Vir: videolectures.net
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