Multi-View Symbolic Regression

Understand

Symbolic regression (SR) searches for analytical expressions representing the relationship between a set of explanatory and response variables.

• Current SR methods assume a single dataset extracted from a single experiment.
• Nevertheless, frequently, the researcher is confronted with multiple sets of results obtained from experiments conducted with different setups.
• Traditional SR methods may fail to find the underlying expression since the parameters of each experiment can be different.