The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Kernel PCA and de-noising in feature spaces
Proceedings of the 1998 conference on Advances in neural information processing systems II
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
The Effect of the Input Density Distribution on Kernel-based Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Link analysis, eigenvectors and stability
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Statistical properties of kernel principal component analysis
Machine Learning
Enclosing Machine Learning for Class Description
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Oracle inequalities for support vector machines that are based on random entropy numbers
Journal of Complexity
The minimum volume covering ellipsoid estimation in kernel-defined feature spaces
ECML'06 Proceedings of the 17th European conference on Machine Learning
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In this paper we analyze the relationships between the eigenvalues of the m 脳 m Gram matrix K for a kernel k(.,.) corresponding to a sample x1, ..., xm drawn from a density p(x) and the eigenvalues of the corresponding continuous eigenproblem. We bound the differences between the two spectra and provide a performance bound on kernel PCA.