Kernel Methods

Author:

Du Ke-Lin,Swamy M. N. S.

Publisher

Springer London

Reference138 articles.

1. Aflalo, J., Ben-Tal, A., Bhattacharyya, C., Nath, J. S., & Raman, S. (2011). Variable sparsity kernel learning. Journal of Machine Learning Research, 12, 565–592.

2. Aizerman, M., Braverman, E., & Rozonoer, L. (1964). Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, 25, 821–837.

3. Alzate, C., & Suykens, J. A. K. (2008). A regularized kernel CCA contrast function for ICA. Neural Networks, 21, 170–181.

4. Alzate, C., & Suykens, J. A. K. (2008). Kernel component analysis using an epsilon-insensitive robust loss function. IEEE Transactions on Neural Networks, 19(9), 1583–1598.

5. Alzate, C., & Suykens, J. A. K. (2010). Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(2), 335–347.

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