Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{turner:2009:evobio,
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author = "Stephen D. Turner and Marylyn D. Ritchie and
William S. Bush",
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title = "Conquering the Needle-in-a-Haystack: How Correlated
Input Variables Beneficially Alter the Fitness
Landscape for Neural Networks",
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booktitle = "EvoBIO 2009, Proceedings of the 7th European
Conference on Evolutionary Computation, Machine
Learning and Data Mining in Bioinformatics",
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year = "2009",
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editor = "Clara Pizzuti and Marylyn Ritchie",
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volume = "5483",
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series = "Lecture Notes in Computer Science",
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pages = "80--91",
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address = "Tuebingen, Germany",
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publisher_address = "Berlin Heidelberg New York",
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month = apr # " 15-17",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, NiH",
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isbn13 = "978-3-642-01183-2",
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DOI = "doi:10.1007/978-3-642-01184-9_8",
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size = "12 pages",
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abstract = "Evolutionary algorithms such as genetic programming
and grammatical evolution have been used for
simultaneously optimizing network architecture,
variable selection, and weights for artificial neural
networks. Using an evolutionary algorithm to perform
variable selection while searching for non-linear
interactions is akin to searching for a needle in a
haystack. There is, however, a considerable amount of
correlation among variables in biological datasets,
such as in microarray or genetic studies. Using the XOR
problem, we show that correlation between
non-functional and functional variables alters the
variable selection fitness landscape by broadening the
fitness peak over a wider range of potential input
variables. Furthermore, when suboptimal weights are
used, local optima in the variable selection fitness
landscape appear centered on each of the two functional
variables. These attributes of the fitness landscape
may supply building blocks for evolutionary search
procedures, and may provide a rationale for conducting
a local search for variable selection.",
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notes = "EvoBIO2009",
- }
Genetic Programming entries for
Stephen D Turner
Marylyn D Ritchie
William S Bush
Citations