PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NameMark J Herbster
TitleLecturer
SiteUniversity College, London
StatusResearcher
Tel
Fax
WWWwww.cs.ucl.ac.uk/staff/M.Herbster/

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Multimodal Integration
Publications

Number of records: 15.

A Fast Method to Predict the Labeling of a Tree Sergio Rojas and Mark Herbster Conference or Workshop Item (17 September 2007)
A Triangle Inequality for p-Resistance Mark Herbster Conference or Workshop Item (30 October 2010)
Combining Graph Laplacians for Semi--Supervised Learning Andreas Argyriou, Mark Herbster and Massimiliano Pontil Conference or Workshop Item (17 August 2005)
Efficient Prediction for Tree Markov Random Fields in a Streaming Model Mark Herbster, Stephen Pasteris and Fabio Vitale Conference or Workshop Item (17 December 2011)
Exploiting Cluster-Structure to Predict the Labeling of a Graph Mark Herbster Conference or Workshop Item (13 October 2008)
Fast Prediction on a Tree Mark Herbster, Massimiliano Pontil and Sergio Rojas Conference or Workshop Item (21 January 2009)
Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum D. Agranoff, D. Fernandez-Reyes, M. C. Papadopoulos, Sergio Rojas, Mark Herbster, A. Loosemore, E. Tarelli, J. Sheldon, A. Schwenk, R. Pollok, C. F. J. Rayner and S. Krishna Article Item not available online. (14 September 2006)
Online Learning over Graphs Mark Herbster, Massimiliano Pontil and Lisa Wainer Conference or Workshop Item (07 August 2005)
Online Learning over Graphs Mark Herbster, Massimiliano Pontil and Lisa Wainer Conference or Workshop Item (08 August 2005)
Online Prediction on Large Diameter Graphs Mark Herbster, Guy Lever and Massimiliano Pontil Conference or Workshop Item (21 January 2009)
Predicting the Labelling of a Graph via Minimum p-Seminorm Interpolation Mark Herbster and Guy Lever Conference or Workshop Item (19 June 2009)
Prediction on a Graph with a Perceptron Mark Herbster and Massimiliano Pontil Conference or Workshop Item (05 November 2006)
Relative Loss Bounds and Polynomial-time Predictions for the K-LMS-NET Algorithm Mark Herbster Conference or Workshop Item (02 October 2004)
Relative loss bounds for predicting almost as well as any function in a union of Gaussian reproducing kernel spaces with varying widths Mark Herbster Conference or Workshop Item (18 June 2004)
Resistive geometry for graph-based transduction Mark Herbster Conference or Workshop Item (04 July 2009)

This list was generated on Wed May 22 14:33:21 BST 2013.