🌐 Entity
Symbolic regression
Type of regression analysis
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📌 Topics
- Scientific Computing (1)
- Machine Learning (1)
- Mathematical Modeling (1)
🏷️ Keywords
Symbolic Regression (1) · Pseudo-Equation Trap (1) · Scientific Consistency (1) · Equation Discovery (1) · Empirical Risk Minimization (1) · Prior-Guided Approach (1) · Scientific Principles (1)
📖 Key Information
Symbolic regression (SR) is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given dataset, both in terms of accuracy and simplicity.
No particular model is provided as a starting point for symbolic regression. Instead, initial expressions are formed by randomly combining mathematical building blocks such as mathematical operators, analytic functions, constants, and state variables.
📰 Related News (1)
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🇺🇸 Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
arXiv:2602.13021v1 Announce Type: cross Abstract: Symbolic Regression (SR) aims to discover interpretable equations from observational data, with the...