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3. Integrating physical knowledge into learning models
In this section, we outline the main categories of methods that are being studied to constrain statistical learning models with a priori knowledge.
3.1 Data constraints
A first way of constraining the predictions of a statistical learning model is to influence the training data, bearing in mind that the model aims to reproduce the patterns it has seen during the learning phase. By providing examples of observations following a physical law, a statistical model will tend...
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Integrating physical knowledge into learning models
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