Improving Causal Inference and Attribute Prediction Through Visual Information
Causal inference is an active area of research in computer science and statistics as it is used to understand casual conclusions that traditional statistics cannot. A naive way to conclude the cause of an outcome is by using correlations, but this is not always accurate because there may be other va...
Main Author: | Chau, Eileen |
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Other Authors: | Cafarella, Michael |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/156837 |
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