A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Machine Learning
Entropy numbers, operators and support vector kernels
Advances in kernel methods
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
Structural risk minimization over data-dependent hierarchies
IEEE Transactions on Information Theory
Relative Loss Bounds for Multidimensional Regression Problems
Machine Learning
The Relaxed Online Maximum Margin Algorithm
Machine Learning
The covering number in learning theory
Journal of Complexity
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
Hi-index | 0.00 |