A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
Prediction with Gaussian processes: from linear regression to linear prediction and beyond
Learning in graphical models
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Enlarging the Margins in Perceptron Decision Trees
Machine Learning
Advances in Large Margin Classifiers
Advances in Large Margin Classifiers
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Structural risk minimization over data-dependent hierarchies
IEEE Transactions on Information Theory
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
| Hi-index | 0.00 |