Causality Workbench

Isabelle Guyon; Constantin Aliferis; Gregory Cooper; André Elisseeff; Jean Philippe Pellet; Peter Spirtes; Alexander Statnikov

doi:10.1093/acprof:oso/9780199574131.003.0026

Causality Workbench

Isabelle Guyon
, Constantin Aliferis
, Gregory Cooper
, André Elisseeff
, Jean Philippe Pellet
, Peter Spirtes
, Alexander Statnikov

Institute for Health Informatics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

7 Scopus citations

Abstract

The Causality Workbench project provides an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), a number of resources are provided, including a repository of datasets, models, and software packages, and a virtual laboratory allowing users to benchmark causal discovery algorithms by performing virtual experiments to study artificial causal systems. Regular competitions are organized.

Original language	English (US)
Title of host publication	Causality in the Sciences
Publisher	Oxford University Press
ISBN (Electronic)	9780191728921
ISBN (Print)	9780199574131
DOIs	https://doi.org/10.1093/acprof:oso/9780199574131.003.0026
State	Published - Sep 22 2011

Keywords

Benchmarks
Causal modeling
Challenges
Competitions
Data repository
Generating models
Virtual laboratory

Publisher link

10.1093/acprof:oso/9780199574131.003.0026

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author = "Isabelle Guyon and Constantin Aliferis and Gregory Cooper and Andr{\'e} Elisseeff and Pellet, \{Jean Philippe\} and Peter Spirtes and Alexander Statnikov",

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AU - Guyon, Isabelle

AU - Aliferis, Constantin

AU - Cooper, Gregory

AU - Elisseeff, André

AU - Pellet, Jean Philippe

AU - Spirtes, Peter

AU - Statnikov, Alexander

PY - 2011/9/22

Y1 - 2011/9/22

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AB - The Causality Workbench project provides an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), a number of resources are provided, including a repository of datasets, models, and software packages, and a virtual laboratory allowing users to benchmark causal discovery algorithms by performing virtual experiments to study artificial causal systems. Regular competitions are organized.

KW - Benchmarks

KW - Causal modeling

KW - Challenges

KW - Competitions

KW - Data repository

KW - Generating models

KW - Virtual laboratory

UR - https://www.scopus.com/pages/publications/84920190257

UR - https://www.scopus.com/pages/publications/84920190257#tab=citedBy

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M3 - Chapter

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SN - 9780199574131

BT - Causality in the Sciences

PB - Oxford University Press

ER -

Causality Workbench

Abstract

Keywords

Publisher link

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