Genetic Programming Based Data Projections for Classification Tasks
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{conf/wec/EstebanezAV05,
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title = "Genetic Programming Based Data Projections for
Classification Tasks",
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author = "Cesar Estebanez and Ricardo Aler and
Jose Maria Valls",
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year = "2005",
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pages = "56--61",
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editor = "Cemal Ardil",
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publisher = "Enformatika, \c{C}anakkale, Turkey",
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booktitle = "International Enformatika Conference, IEC'05",
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volume = "7",
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address = "Prague, Czech Republic",
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month = aug # " 26-28",
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organisation = "World Enformatika Society",
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note = "CDROM",
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bibdate = "2005-10-13",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/wec/iec2005prague.html#EstebanezAV05",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "975-98458-6-5",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.193.6069",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.193.6069.pdf",
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size = "6 pages",
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abstract = "In this paper we present a GP-based method for
automatically evolve projections, so that data can be
more easily classified in the projected spaces. At the
same time, our approach can reduce dimensionality by
constructing more relevant attributes. Fitness of each
projection measures how easy is to classify the dataset
after applying the projection. This is quickly computed
by a Simple Linear Perceptron. We have tested our
approach in three domains. The experiments show that it
obtains good results, compared to other Machine
Learning approaches, while reducing dimensionality in
many cases",
- }
Genetic Programming entries for
Cesar Estebanez
Ricardo Aler Mur
Jose Maria Valls Ferran
Citations