CasGP: Building Cascaded Hierarchical Models Using Niching
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{lichodzijewski:2005:CEC,
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author = "Peter Lichodzijewski and Malcolm I. Heywood and
A. Nur Zincir-Heywood",
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title = "CasGP: Building Cascaded Hierarchical Models Using
Niching",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
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year = "2005",
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editor = "David Corne and Zbigniew Michalewicz and
Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and
Garrison Greenwood and Tan Kay Chen and
Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and
Jennifier Willies and Juan J. Merelo Guervos and
Eugene Eberbach and Bob McKay and Alastair Channon and
Ashutosh Tiwari and L. Gwenn Volkert and
Dan Ashlock and Marc Schoenauer",
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volume = "2",
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pages = "1180--1187",
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address = "Edinburgh, UK",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "2-5 " # sep,
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organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, RSS, DSS,
C4.5, boosting, naive Bayes",
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ISBN = "0-7803-9363-5",
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URL = "http://flame.cs.dal.ca/~piotr/01554824.pdf",
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DOI = "doi:10.1109/CEC.2005.1554824",
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size = "8 pages",
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abstract = "A Cascaded model is introduced for mining large
datasets using Genetic Programming without recourse to
specialist hardware. Such an algorithm satisfies the
seeming conflicting requirements of scalability and
accuracy on large datasets by incrementally building GP
classifiers through the use of a hierarchical Dynamic
Subset Selection algorithm. Models are built
incrementally with each layer of the cascade receiving
as input the original feature vector, plus the output
from the previous layer(s). In order to encourage each
layer to explicitly solve new aspects of the problem a
combination of Sum Square Error and Niching is used.
Thus, previous layers of the model are considered a
niche, and the cost function is a shared error
metric.",
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notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
- }
Genetic Programming entries for
Peter Lichodzijewski
Malcolm Heywood
Nur Zincir-Heywood
Citations