What is Gained from Past Learning
We consider ways of enabling systems to apply previously learned information to novel situations so as to minimize the need for retraining. We show that theoretical limitations exist on the amount of information that can be transported from previous learning, and that robustness to changing environm...
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| Format: | Article |
| Language: | English |
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De Gruyter
2018-03-01
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| Series: | Journal of Causal Inference |
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| Online Access: | https://doi.org/10.1515/jci-2018-0005 |