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Table of contents
- Symbolic regression thesis in 2021
- Genetic programming example
- Genetic programming with symbolic regression
- Eureqa regression
- Multi gene genetic programming
- Deep symbolic regression
- Genetic programming language
- Genetic programming software
Symbolic regression thesis in 2021
Genetic programming example
Genetic programming with symbolic regression
Eureqa regression
Multi gene genetic programming
Deep symbolic regression
Genetic programming language
Genetic programming software
How is an expression tree used in symbolic regression?
Expression tree as it can be used in symbolic regression to represent a function. 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.
Do you have to specify primitives in symbolic regression?
Usually, a subset of these primitives will be specified by the person operating it, but that's not a requirement of the technique.
How is symbolic regression used in data analysis?
Symbolic regression 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 to the algorithm. Instead, initial expressions are formed by randomly combining...
Last Update: Oct 2021