Approximating and learning by Lipschitz kernel on the sphere

Author:

Cao Fei-long,Wang Chang-miao

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference25 articles.

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2. P L Bartlett. The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network, IEEE Trans Inform Theory, 1988, 44: 525–536.

3. M Belkin, P Niyogi, V Sindawani. Manifold regularization: A geometric framework for learning from examples, University of Chicago Computer Science Technical Report TR-2004-06, 2004.

4. M Belkin, P Niyogi. Semi-supervised learning on Riemannian manifolds, Mach Learn, Special Issue on Clustering, 2004, 56: 209–239.

5. O Bousquet, A Elisseeff. Stability and generalization, J Mach Learn Res, 2002, 2: 499–526.

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