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Skip to Search Results- 3Causality
- 2Artificial Intelligence
- 2Machine Learning
- 1Bayesian Networks
- 1Causality inference
- 1Distributional causality
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Spring 2023
With machine learning models becoming more complicated and more widely applied to solve real-world challenges, there comes the need to explain their reasoning. In parallel with the advancements of deep learning methods, Explainable AI (XAI) algorithms have been proposed to address the issue of...
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Spring 2014
The main focus of this work is on detection of causal relationships or couplings between different processes or systems. Identification of these causal relationships has applications in many disciplines including physics, economics, biology, neuroscience, and climatology. As these couplings or...
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2011
Technical report TR11-01. Causality is a fundamental concept in reasoning. The effectiveness of many reasoning tasks depends on the understanding of the underlying cause-effect relationships. Therefore, the notion of causality has been explored in a wide range of disciplines. Causal discovery,...