nips nips2000 nips2000-70 nips2000-70-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Gert Cauwenberghs, Tomaso Poggio
Abstract: An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously seen training data, in a number of steps each computed analytically. The incremental procedure is reversible, and decremental