A deterministic symbolic regression method grows a single expression tree by locally improving nodes, returning compact equations that the authors report to be competitive with a neural network on one dataset.
On crossover success rate in genetic programming with offspring selection
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A New Deterministic Technique for Symbolic Regression
A deterministic symbolic regression method grows a single expression tree by locally improving nodes, returning compact equations that the authors report to be competitive with a neural network on one dataset.