Parsimony doesn't mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data
Created by W.Langdon from
gp-bibliography.bib Revision:1.8097
- @InProceedings{eurogp07:DeFalco,
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author = "Ivanoe {De Falco} and Antonio {Della Cioppa} and
Domenico Maisto and Umberto Scafuri and
Ernesto Tarantino",
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title = "Parsimony doesn't mean Simplicity: Genetic Programming
for Inductive Inference on Noisy Data",
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editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and
Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
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booktitle = "Proceedings of the 10th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4445",
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year = "2007",
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address = "Valencia, Spain",
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month = "11-13 " # apr,
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pages = "351--360",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-71602-0",
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ISBN = "3-540-71602-5",
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DOI = "doi:10.1007/978-3-540-71605-1_33",
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abstract = "A Genetic Programming algorithm based on Solomonoff
probabilistic induction is designed and used to face an
Inductive Inference task, i.e., symbolic regression. To
this aim, some test functions are dressed with
increasing levels of noise and the algorithm is
employed to denoise the resulting function and recover
the starting functions. Then, the algorithm is compared
against a classical parsimony-based GP. The results
shows the superiority of the Solomonoff-based
approach.",
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notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
- }
Genetic Programming entries for
Ivanoe De Falco
Antonio Della Cioppa
Domenico Maisto
Umberto Scafuri
Ernesto Tarantino
Citations