Algorithms for Learning Kernels Based on Centered Alignment

arXiv:1203.0550v3 Announce Type: replace
Abstract: This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uniform combination solution that has proven to be difficult to improve upon in the past, as well as other algorithms for learning kernels based on convex combinations of base kernels in both classification and regression. Our algorithms are based on the notion of centered alignment which is used as a similarity …

abstract algorithms alignment arxiv combination cs.ai cs.lg paper results solution type uniform