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.
Defined on pages 144, 144
Used on Chap. 6: pages 124, 125; Chap. 7: pages 144, 145, 147, 149; Chap. 8: page 155; Chap. 16: page 387
Also known as SVM