| 2006 |
|---|
| 11 | EE | Mark Herbster,
Massimiliano Pontil:
Prediction on a Graph with a Perceptron.
NIPS 2006: 577-584 |
| 2005 |
|---|
| 10 | EE | Mark Herbster,
Massimiliano Pontil,
Lisa Wainer:
Online learning over graphs.
ICML 2005: 305-312 |
| 9 | EE | Andreas Argyriou,
Mark Herbster,
Massimiliano Pontil:
Combining Graph Laplacians for Semi-Supervised Learning.
NIPS 2005 |
| 2004 |
|---|
| 8 | EE | Mark Herbster:
Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm.
ALT 2004: 309-323 |
| 2001 |
|---|
| 7 | EE | Mark Herbster:
Learning Additive Models Online with Fast Evaluating Kernels.
COLT/EuroCOLT 2001: 444-460 |
| 6 | EE | Mark Herbster,
Manfred K. Warmuth:
Tracking the Best Linear Predictor.
Journal of Machine Learning Research 1: 281-309 (2001) |
| 1998 |
|---|
| 5 | EE | Mark Herbster,
Manfred K. Warmuth:
Tracking the Best Regressor.
COLT 1998: 24-31 |
| 4 | | Mark Herbster,
Manfred K. Warmuth:
Tracking the Best Expert.
Machine Learning 32(2): 151-178 (1998) |
| 1995 |
|---|
| 3 | | Mark Herbster,
Manfred K. Warmuth:
Tracking the Best Expert.
ICML 1995: 286-294 |
| 2 | EE | Peter Auer,
Mark Herbster,
Manfred K. Warmuth:
Exponentially many local minima for single neurons.
NIPS 1995: 316-322 |
| 1994 |
|---|
| 1 | | Leslie Grate,
Mark Herbster,
Richard Hughey,
David Haussler,
I. Saira Mian,
Harry Noller:
RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars.
ISMB 1994: 138-146 |
