Online Learning for Hierarchical Networks of Locally Arranged Models using a Support Vector Domain Model

We propose two new developments for our supervised local linear approximation technique, the so called Hierarchical Network of Locally Arranged Models. A new model will be presented that defines those local regions of the input space in which linear models are trained to approximate the target function. This model is based on a one-class support vector… (More)