This talk will review recent advances in the kernel methods focusing on support vector machines (SVM) for pattern recognition. Topics discussed include the kernel design issue through the multi kernel approach and the optimization issue with emphasis on scalability and non convex cost functions.
CITATION STYLE
Canu, S. (2010). Recent Advances in Kernel Machines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6419 LNCS, p. 1). Springer Verlag. https://doi.org/10.1007/978-3-642-16687-7_1
Mendeley helps you to discover research relevant for your work.