Genetic Programming Based Data Projections for Classification Tasks

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

@InProceedings{conf/wec/EstebanezAV05,

• title = "Genetic Programming Based Data Projections for Classification Tasks",
• author = "Cesar Estebanez and Ricardo Aler and Jose Maria Valls",
• year = "2005",
• pages = "56--61",
• editor = "Cemal Ardil",
• publisher = "Enformatika, \c{C}anakkale, Turkey",
• booktitle = "International Enformatika Conference, IEC'05",
• volume = "7",
• address = "Prague, Czech Republic",
• month = aug # " 26-28",
• organisation = "World Enformatika Society",
• note = "CDROM",
• bibdate = "2005-10-13",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/wec/iec2005prague.html#EstebanezAV05",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "975-98458-6-5",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.193.6069",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.193.6069.pdf",
• size = "6 pages",
• 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