74 citations · 241 across the 31 of their papers we have counts for
4 papers · 1 filter
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…
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…
Declarative Modeling and Bayesian Inference of Dark Matter Halos
Gabriel Kronberger
Probabilistic programming allows specification of probabilistic models in a declarative manner. Recently, several new software systems and languages for probabilistic programming h…
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…