On Kernel-Target Alignment

We introduce the notion of kernel-alignment, a measure of similarity betweentwo kernel functions or between a kernel and a target function. This quantity captures the degree of agreement between a kernel and a given learning task, and has very natural interpretations inmachine learning, leading also to simple algorithms for model selection and learning.