Gaussian and Wishart Hyperkernels

NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems

Volumn , Issue , 2006, Pages 729-736

  Kondor, Risi ^a   Jebara, Tony ^a  

^a Department of Earth and Environmental Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

REGRESSION ANALYSIS;

CLASSIFICATION METHODS; CLOSED FORM; GAUSSIANS; KERNEL LEARNING; PERFORMANCE; RBF KERNELS; REGRESSION METHOD; REGULARIZATION SCHEMES; STAND-ALONE ALGORITHM; WISHART;

GAUSSIAN DISTRIBUTION;

EID: 56449120554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. N. Cristianini, J. Shawe-Taylor, A. Elisseeff, and J. Kandola. On kernel-target alignment. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 367-373, Cambridge, MA, 2002. MIT Press.
2. G. S. Kimeldorf and G. Wahba. Some results on Tchebycheffian spline functions. J. Math. Anal. Applic., 33:82-95, 1971.
3. R. Kondor and T. Jebara. A kernel between sets of vectors. In Machine Learning: Tenth International Conference, ICML 2003, 2003.
4. R. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. In Machine Learning: Proceedings of the Nineteenth International Conference (ICML'02), 2002.
5. G. Lanckriet, N. Cristianini, P. Bartlett, L. El Ghaoui, and M. I. Jordan. Learning the kernel matrix with semi-definite programming. Journal of Machine Learning Research, 5:27-72, 2004.
6. T. P. Minka. Inferring a Gaussian distribution, 2001. Tutorial paper available at http://www.stat.cmu.edu/minka/papers/learning.html.
7. C. S. Ong and A. J. Smola. Machine learning using hyperkernels. In Proceedings of the International Conference on Machine Learning, 2003.
8. Cheng Soon Ong, Alexander J. Smola, and Robert C. Williamson. Hyperkernels. In S. Thrun S. Becker and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 478-485. MIT Press, Cambridge, MA, 2003.
9. Cheng Soon Ong, Alexander J. Smola, and Robert C. Williamson. Learning the kernel with hyperkernels. Sumbitted to the Journal of Machine Learning Research, 2003.
10. B. Schölkopf and A. J. Smola. Learning with Kernels. MIT Press, 2002.