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  Probabilistic soft interventions in Conditional Gaussian networks

Markowetz, F., Grossmann, S., & Spang, R. (2005). Probabilistic soft interventions in Conditional Gaussian networks. In Artificial Intelligence and Statistics (pp. 214-221). New Jersey, USA: Society for Artificial Intelligence and Statistics.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-8757-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-8758-4
Genre: Conference Paper

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 Creators:
Markowetz, Florian1, Author
Grossmann, Steffen1, Author
Spang, Rainer2, Author           
Affiliations:
1Max Planck Society, ou_persistent13              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

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 Abstract: We introduce a general concept of probabilistic interventions in Bayesian networks. This generalizes deterministic interventions, which fix nodes to certain states. We propose “pushing” variables in the direction of target states without fixing them. We formalize this idea in a Bayesian framework based on Conditional Gaussian networks.

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Language(s): eng - English
 Dates: 2005-01
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: eDoc: 267497
URI: http://www.gatsby.ucl.ac.uk/aistats/
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Title: Tenth International Workshop on Artificial Intelligence and Statistics
Place of Event: Barbados
Start-/End Date: 2005-01-06 - 2005-01-08

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Title: Artificial Intelligence and Statistics
Source Genre: Proceedings
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Publ. Info: New Jersey, USA : Society for Artificial Intelligence and Statistics
Pages: pp 452 Volume / Issue: - Sequence Number: - Start / End Page: 214 - 221 Identifier: -