- author = "Gabriel Kronberger and Stefan Wagner and Michael Kommenda and Andreas Beham and Andreas Scheibenpflug and Michael Affenzeller",
- title = "Knowledge Discovery through Symbolic Regression with HeuristicLab",
- booktitle = "Conference booklet ECML-PKDD 2012",
- year = "2012",
- editor = "Bettina Berendt and Myra Spiliopoulou",
- volume = "7524",
- series = "Lecture Notes in Computer Science",
- pages = "824--827",
- address = "Bristol UK",
- month = "24-28 " # sep,
- publisher = "Springer",
- note = "Demo Spotlights",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-3-642-33485-6",
-
DOI = "
doi:10.1007/978-3-642-33486-3_56",
- size = "4 pages",
- abstract = "This contribution describes how symbolic regression can be used for knowledge discovery with the open-source software HeuristicLab. HeuristicLab includes a large set of algorithms and problems for combinatorial optimisation and for regression and classification, including symbolic regression with genetic programming. It provides a rich GUI to analyse and compare algorithms and identified models. This contribution mainly focuses on specific aspects of symbolic regression that are unique to HeuristicLab, in particular, the identification of relevant variables and model simplification.",
-
notes = "LNCS gives in Machine Learning and Knowledge Discovery
in Databases editor={Flach, PeterA. and Bie, Tijl and
Cristianini,
Nello},
http://www.ecmlpkdd2012.net/files/2012/09/ECMLPKDD2012booklet.pdf",
