A constraint-based approach to incorporate prior knowledge in causal models

G. Borboudakis, S. Triantafillou, V. Lagani, I. Tsamardinos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper we address the problem of incorporating prior knowledge, in the form of causal relations, in causal models. Prior approaches mostly consider knowledge about the presence or absence of edges in the model. We use the formalism of Maximal Ancestral Graphs (MAGs) and adapt cSAT+ to solve this problem, an algorithm for reasoning with datasets defined over different variable sets.
Original languageEnglish (US)
Title of host publicationESANN 2011 - 19th European Symposium on Artificial Neural Networks
PublisherESANN (i6doc.com)
Pages321-326
Number of pages6
ISBN (Print)9782874190445
StatePublished - Jan 1 2011
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-23

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