Evolutionary Learning of Linear Trees with Embedded Feature Selection

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Kretowski:2006:ICAISC,

• author = "Marek Kretowski and Marek Grzes",
• title = "Evolutionary Learning of Linear Trees with Embedded Feature Selection",
• booktitle = "Proceedings 8th International Conference on Artificial Intelligence and Soft Computing {ICAISC}",
• year = "2006",
• pages = "400--409",
• series = "Lecture Notes on Artificial Intelligence (LNAI)",
• volume = "4029",
• publisher = "Springer-Verlag",
• editor = "Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek Zurada",
• address = "Zakopane, Poland",
• month = jun # " 25-29",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-35748-3",
• DOI = "doi:10.1007/11785231_43",
• URL = "http://aragorn.pb.bialystok.pl/~mkret/docs/icaisc2006.pdf",
• size = "10 pages",
• 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