CausalOps - Towards an industrial lifecycle for causal probabilistic graphical models
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Information and Software Technology, S.
- Event
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Veröffentlichung
- (where)
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Regensburg
- (who)
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Ostbayerische Technische Hochschule Regensburg
- (when)
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2024
- Creator
-
Maier, Robert
Schlattl, Andreas
Guess, Thomas
Mottok, Jürgen
- DOI
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10.1016/j.infsof.2024.107520
- URN
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urn:nbn:de:bvb:898-opus4-73350
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:43 PM CET
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Maier, Robert
- Schlattl, Andreas
- Guess, Thomas
- Mottok, Jürgen
- Ostbayerische Technische Hochschule Regensburg
Time of origin
- 2024
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Advances in probabilistic graphical models
Causal asymmetry across cultures: Assigning causal roles in symmetric physical settings
Anhang einiger Causal-Predigten.
Essays in causal inference
Algorithmics of identifying causal effects in graphical models
Life-Cycle Labor Supply and Fertility: Causal Inferences from Household Models
Modified Causal Forests for Estimating Heterogeneous Causal Effects
Towards causal reasoning: notes on dimension reduction, graphical models and treatment effects
Causal predicates, causal principles, and the core of causation
Causal quantum theory
Causal necessity, causal sufficiency, and the implications of causative verbs
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
Advances in probabilistic graphical models
Causal asymmetry across cultures: Assigning causal roles in symmetric physical settings
Anhang einiger Causal-Predigten.