Learning Convex Combinations of Continuously Parameterized Basic Kernels

Author:

Argyriou Andreas,Micchelli Charles A.,Pontil Massimiliano

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Aronszajn, N.: Theory of reproducing kernels. Trans. Amer. Math. Soc. 686, 337–404 (1950)

2. Aubin, J.P.: Mathematical Methods of Game and Economic Theory. In: Studies in Mathematics and its applications, vol. 7, North-Holland, Amsterdam (1982)

3. Bach, F.R., Lanckriet, G.R.G., Jordan, M.I.: Multiple kernels learning, conic duality, and the SMO algorithm. In: Proc. of the Int. Conf. on Machine Learning (2004)

4. Bousquet, O., Herrmann, D.J.L.: On the complexity of learning the kernel matrix. Advances in Neural Information Processing Systems 15 (2003)

5. Borwein, J.M., Lewis, A.S.: Convex Analysis and Nonlinear Optimization. Theory and Examples. CMS (Canadian Math. Soc.). Springer, New York (2000)

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