A support vector machine (SVM) is a multi-layer neural network where the first layer uses a large number of specialised non-linear functions in order to allow simpler leaerning in later levels. Often the non-linear functions form a family, called a kernal, for example they maybe foms of wavelet. Alongside other techniques such as reservoir ocmputing it is a way of creating non-linear diversity.
Used in Chap. 6: page 93; Chap. 7: pages 106, 107, 108, 109; Chap. 8: pages 113, 114; Chap. 16: page 267
Also known as SVM