Kernel methods in machine learning

Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola

We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of fun…