PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Online Learning over Graphs
Mark Herbster, Massimiliano Pontil and Lisa Wainer
In: ICML 2005, August 7-11 2005, Bonn, Germany.

Abstract

Slides for the presentation of the paper "Online Learning over Graphs". We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simple algorithms and performance guaran- tees that we naturally interpret in terms of structural properties of the graph, such as the algebraic connectivity or the diameter of the graph. We also discuss how these methods can be modified to allow active learning on a graph. We present preliminary experiments with encouraging results.

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EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:1169
Deposited By:Mark Herbster
Deposited On:19 November 2005