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Mark Herbster :
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Mark Herbster Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm. [Citation Graph (0, 0)][DBLP ] ALT, 2004, pp:309-323 [Conf ] Mark Herbster Learning Additive Models Online with Fast Evaluating Kernels. [Citation Graph (0, 0)][DBLP ] COLT/EuroCOLT, 2001, pp:444-460 [Conf ] Mark Herbster , Manfred K. Warmuth Tracking the Best Regressor. [Citation Graph (0, 0)][DBLP ] COLT, 1998, pp:24-31 [Conf ] Mark Herbster , Massimiliano Pontil , Lisa Wainer Online learning over graphs. [Citation Graph (0, 0)][DBLP ] ICML, 2005, pp:305-312 [Conf ] Mark Herbster , Manfred K. Warmuth Tracking the Best Expert. [Citation Graph (0, 0)][DBLP ] ICML, 1995, pp:286-294 [Conf ] Leslie Grate , Mark Herbster , Richard Hughey , David Haussler , I. Saira Mian , Harry Noller RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars. [Citation Graph (0, 0)][DBLP ] ISMB, 1994, pp:138-146 [Conf ] Andreas Argyriou , Mark Herbster , Massimiliano Pontil Combining Graph Laplacians for Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP ] NIPS, 2005, pp:- [Conf ] Peter Auer , Mark Herbster , Manfred K. Warmuth Exponentially many local minima for single neurons. [Citation Graph (0, 0)][DBLP ] NIPS, 1995, pp:316-322 [Conf ] Mark Herbster , Manfred K. Warmuth Tracking the Best Linear Predictor. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2001, v:1, n:, pp:281-309 [Journal ] Mark Herbster , Manfred K. Warmuth Tracking the Best Expert. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1998, v:32, n:2, pp:151-178 [Journal ] Mark Herbster , Massimiliano Pontil Prediction on a Graph with a Perceptron. [Citation Graph (0, 0)][DBLP ] NIPS, 2006, pp:577-584 [Conf ] Exploiting Cluster-Structure to Predict the Labeling of a Graph. [Citation Graph (, )][DBLP ] Fast Prediction on a Tree. [Citation Graph (, )][DBLP ] Online Prediction on Large Diameter Graphs. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.002secs