Mark Herbster Coauthor index pubzone.org

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i1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Claudio Gentile, Mark Herbster, Stephen Pasteris: Online Similarity Prediction of Networked Data from Known and Unknown Graphs. CoRR abs/1302.7263 (2013)
2012
c14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Stephen Pasteris, Fabio Vitale: Online Sum-Product Computation Over Trees. NIPS 2012: 2879-2887
2009
c13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Guy Lever: Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation. COLT 2009
2008
c12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster: Exploiting Cluster-Structure to Predict the Labeling of a Graph. ALT 2008: 54-69
c11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Guy Lever, Massimiliano Pontil: Online Prediction on Large Diameter Graphs. NIPS 2008: 649-656
c10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano: Fast Prediction on a Tree. NIPS 2008: 657-664
2006
c9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Massimiliano Pontil: Prediction on a Graph with a Perceptron. NIPS 2006: 577-584
2005
c8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Massimiliano Pontil, Lisa Wainer: Online learning over graphs. ICML 2005: 305-312
c7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Andreas Argyriou, Mark Herbster, Massimiliano Pontil: Combining Graph Laplacians for Semi-Supervised Learning. NIPS 2005
2004
c6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster: Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm. ALT 2004: 309-323
2001
j2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Manfred K. Warmuth: Tracking the Best Linear Predictor. Journal of Machine Learning Research 1: 281-309 (2001)
c5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster: Learning Additive Models Online with Fast Evaluating Kernels. COLT/EuroCOLT 2001: 444-460
1998
j1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Manfred K. Warmuth: Tracking the Best Expert. Machine Learning 32(2): 151-178 (1998)
c4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Manfred K. Warmuth: Tracking the Best Regressor. COLT 1998: 24-31
1995
c3no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Mark Herbster, Manfred K. Warmuth: Tracking the Best Expert. ICML 1995: 286-294
c2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
Peter Auer, Mark Herbster, Manfred K. Warmuth: Exponentially many local minima for single neurons. NIPS 1995: 316-322
1994
c1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XML
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

Coauthor Index

1Andreas Argyriou
[c7]
2Peter Auer
[c2]
3Sergio Rojas Galeano
[c10]
4Claudio Gentile
[i1]
5Leslie Grate
[c1]
6David Haussler
[c1]
7Richard Hughey
[c1]
8Guy Lever
[c13] [c11]
9I. Saira Mian
[c1]
10Harry Noller
[c1]
11Stephen Pasteris
[i1] [c14]
12Massimiliano Pontil
[c11] [c10] [c9] [c8] [c7]
13Fabio Vitale
[c14]
14Lisa Wainer
[c8]
15Manfred K. Warmuth
[j2] [j1] [c4] [c3] [c2]

Colors in the list of coauthors

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