where σ is a regularization hyperparameter and the term w T Kw comes from the use of Tikhonov regularization in a kernel regression model. Note that we use the simplest form of regularization, with a single parameter σ to control for overfitting. In principle different regulatization strenghts could be used for each training point (e.g. proportional to the dipole magnitude).