Auto-kernel using multilayer perceptron
Wei‐Chen Cheng · Applied Computer Science · 2012
This work presents a constructive method to train the multilayer perceptron layer after layer suc- cessively and to accomplish the kernel used in the support vector machine. Data in different classes will be trained to map to distant points in each layer. This will ease the mapping of the next layer. A perfect mapping kernel can be accomplished successively. Those distant mapped points can be discriminated easily by a single perceptron.