SyMANTIC discovers simple mathematical models by screening inputs with mutual information, expanding features recursively, and fitting sparse linear models with a Pareto front of accuracy versus complexity.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond
SyMANTIC discovers simple mathematical models by screening inputs with mutual information, expanding features recursively, and fitting sparse linear models with a Pareto front of accuracy versus complexity.