PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The Causality Workbench Virtual Lab
Isabelle Guyon, Constantin Aliferis, Gregory Cooper, André Eisseeff, Olivier Guyon, Jean-Philippe Pellet, Peter Spirtes and Alexander Statnikov
(2009) Clopinet, Berkeley, CA.

Abstract

We implemented a virtual laboratory allowing researchers to perform experiments on artificial systems to infer their causal structure. This is part of the “Causality Workbench” effort. The design of the platform is such that: - Researchers can submit new artificial systems with which other can experiment. - Experimenters can place queries and get answers. - The activity is logged. - Registered users have their own virtual lab space. We have released a first version http://www.causality.inf.ethz.ch/workbench.php.

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EPrint Type:Other
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:5773
Deposited By:Isabelle Guyon
Deposited On:08 March 2010

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