Kernel Methods

The Weighted Kendall and High-order Kernels for Permutations
We propose new positive definite kernels for permutations. First we introduce a weighted version of the Kendall kernel, which allows to …
Preprint PDF Cite Code Dataset Poster Slides HTML
The Weighted Kendall and High-order Kernels for Permutations
The Kendall and Mallows Kernels for Permutations
We show that the widely used Kendall tau correlation coefficient, and the related Mallows kernel, are positive definite kernels for …
Preprint PDF Cite Code DOI
The Kendall and Mallows Kernels for Permutations
kernrank
C++ package (with an R interface) implementing kernel methods for rank data
20 Nov 2017
kernrank
kmr
A kernel multitask regression algorithm implemented in R
20 Nov 2017
kmr
Kernel Multitask Regression for Toxicogenetics
The development of high-throughput in vitro assays to study quantitatively the toxicity of chemical compounds on genetically …
Preprint PDF Cite Code Dataset Video DOI
The Kendall and Mallows Kernels for Permutations
We show that the widely used Kendall tau correlation coefficient is a positive definite kernel for permutations. It offers a …
PDF Cite Code Poster Slides Video HTML Errata
The Kendall and Mallows Kernels for Permutations