CasGP: Building Cascaded Hierarchical Models Using Niching

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{lichodzijewski:2005:CEC,

• author = "Peter Lichodzijewski and Malcolm I. Heywood and A. Nur Zincir-Heywood",
• title = "CasGP: Building Cascaded Hierarchical Models Using Niching",
• booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary Computation",
• year = "2005",
• 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",
• volume = "2",
• pages = "1180--1187",
• address = "Edinburgh, UK",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "2-5 " # sep,
• organisation = "IEEE Computational Intelligence Society, Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, RSS, DSS, C4.5, boosting, naive Bayes",
• ISBN = "0-7803-9363-5",
• URL = "http://flame.cs.dal.ca/~piotr/01554824.pdf",
• DOI = "doi:10.1109/CEC.2005.1554824",
• size = "8 pages",
• 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.",
• 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