Indefinite kernel machines have attracted more and more interests in machine learning due to their better empirical classification performance than the common positive definite kernel machines in many applications. A key to implement effective kernel machine is how to use prior knowledge as sufficiently as possible to guide the appropriate construction of the kernels. However, most of existing ...
