The complexity and approximability of finding maximum feasible subsystems of linear relations
Theoretical Computer Science
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Machine Learning
Machine Learning
Leave-One-Out Support Vector Machines
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Generalisation Error Bounds for Sparse Linear Classifiers
COLT '00 Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
On the difficulty of approximately maximizing agreements
Journal of Computer and System Sciences
Ultraconservative online algorithms for multiclass problems
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
A Second-Order Perceptron Algorithm
SIAM Journal on Computing
Incremental Algorithms for Hierarchical Classification
The Journal of Machine Learning Research
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
Worst-Case Analysis of Selective Sampling for Linear Classification
The Journal of Machine Learning Research
On the generalization ability of on-line learning algorithms
IEEE Transactions on Information Theory
| Hi-index | 5.23 |
We survey a number of recent results concerning the behaviour of algorithms for learning classifiers based on the solution of a regularized least-squares problem.