×

zbMATH — the first resource for mathematics

Working set selection using second order information for training support vector machines. (English) Zbl 1222.68198
Summary: Working set selection is an important step in decomposition methods for training support vector machines (SVMs). This paper develops a new technique for working set selection in SMO-type decomposition methods. It uses second order information to achieve fast convergence. Theoretical properties such as linear convergence are established. Experiments demonstrate that the proposed method is faster than existing selection methods using first order information.

MSC:
68T05 Learning and adaptive systems in artificial intelligence
Software:
LIBSVM; SVMlight; UCI-ml
PDF BibTeX XML Cite
Full Text: Link