2008 |
14 | EE | Mark Herbster:
Exploiting Cluster-Structure to Predict the Labeling of a Graph.
ALT 2008: 54-69 |
13 | EE | Mark Herbster,
Guy Lever,
Massimiliano Pontil:
Online Prediction on Large Diameter Graphs.
NIPS 2008: 649-656 |
12 | EE | Mark Herbster,
Massimiliano Pontil,
Sergio Rojas Galeano:
Fast Prediction on a Tree.
NIPS 2008: 657-664 |
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 |