Evolutionary Learning of Linear Trees with Embedded Feature Selection
Created by W.Langdon from
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- @InProceedings{Kretowski:2006:ICAISC,
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author = "Marek Kretowski and Marek Grzes",
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title = "Evolutionary Learning of Linear Trees with Embedded
Feature Selection",
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booktitle = "Proceedings 8th International Conference on Artificial
Intelligence and Soft Computing {ICAISC}",
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year = "2006",
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pages = "400--409",
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series = "Lecture Notes on Artificial Intelligence (LNAI)",
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volume = "4029",
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publisher = "Springer-Verlag",
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editor = "Leszek Rutkowski and Ryszard Tadeusiewicz and
Lotfi A. Zadeh and Jacek Zurada",
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address = "Zakopane, Poland",
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month = jun # " 25-29",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-35748-3",
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DOI = "doi:10.1007/11785231_43",
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URL = "http://aragorn.pb.bialystok.pl/~mkret/docs/icaisc2006.pdf",
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size = "10 pages",
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abstract = "a new evolutionary algorithm for global induction of
linear trees is presented. The learning process
consists of searching for both a decision tree
structure and hyper-plane weights in all nonterminal
nodes. Specialised genetic operators are developed and
applied according to the node quality and location.
Feature selection aimed at simplification of the
splitting hyper-planes is embedded into the algorithm
and results in elimination of noisy and redundant
features. The proposed approach is verified on both
artificial and real-life data and the obtained results
are promising.",
- }
Genetic Programming entries for
Marek Kretowski
Marek Grzes
Citations