Skip navigation
Skip navigation

Robust inference of trees

Zaffalon, Marco; Hutter, Marcus


This paper is concerned with the reliable inference of optimal tree-approximations to the dependency structure of an unknown distribution generating data. The traditional approach to the problem measures the dependency strength between random variables by the index called mutual information. In this paper reliability is achieved by Walley’s imprecise Dirichlet model, which generalizes Bayesian learning with Dirichlet priors. Adopting the imprecise Dirichlet model results in posterior...[Show more]

CollectionsANU Research Publications
Date published: 2006-10
Type: Journal article
Source: Annals of Mathematics and Artificial Intelligence
DOI: 10.1007/s10472-005-9007-9


File Description SizeFormat Image
Hutter and Zaffalon Robust Inference of Trees 2005.pdf269.43 kBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator