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 Coordinate Covariances via Gradients
The Journal of Machine Learning Research
Capacity of reproducing kernel spaces in learning theory
IEEE Transactions on Information Theory
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Variable weighted learning algorithm based on empirical data is introduced and the classical principle of empirical risk minimization becomes its special case. We study the generalization performance of Tikhonov regularized variable weighted learning algorithm. The estimates of the convergence rate are given via integral operators and their approximations.