output
20122026
most citedContemporary Symbolic Regression Methods and their Relative Performance

144 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2013 · cs.NEShow all

3 papers · 2 filters

cs.NE2013★ 7 cited

Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset

Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr +1

In this paper a data mining approach for variable selection and knowledge extraction from datasets is presented. The approach is based on unguided symbolic regression (every variab…

cs.NE2013★ 3 cited

On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection

Gabriel Kronberger, Stephan Winkler, Michael Affenzeller +2

Genetic programming is a powerful heuristic search technique that is used for a number of real world applications to solve among others regression, classification, and time-series…

cs.NE2013★ 1 cited

Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming

Gabriel Kronberger, Michael Kommenda

In this contribution we describe an approach to evolve composite covariance functions for Gaussian processes using genetic programming. A critical aspect of Gaussian processes and…