%0 Conference Paper %1 folino:2005:gsice %A Folino, Gianluigi %A Pizzuti, Clara %A Spezzano, Giandomenico %B AI*IA Workshop on Evolutionary Computation, Evoluzionistico GSICE05 %C University of Milan Bicocca, Italy %D 2005 %E Manzoni, Sara %E Palmonari, Matteo %E Sartori, Fabio %K algorithms, boosting classification, data genetic mining, programming, %T GP Ensembles for improving multi-class prediction problems %X Cellular Genetic Programming for data classification extended with the boosting technique to induce an ensemble of predictors is presented. The method implements in parallel AdaBoost.M2 to efficiently deal with multi-class problems and it is able to manage large data sets that do not fit in main memory since each classifier is trained on a subset of the overall training data. Experiments on several data sets show that, by using a training set of reduced size, better classification accuracy can be obtained at a much lower computational cost. %@ 88-900910-0-2

@inproceedings{folino:2005:gsice, abstract = {Cellular Genetic Programming for data classification extended with the boosting technique to induce an ensemble of predictors is presented. The method implements in parallel AdaBoost.M2 to efficiently deal with multi-class problems and it is able to manage large data sets that do not fit in main memory since each classifier is trained on a subset of the overall training data. Experiments on several data sets show that, by using a training set of reduced size, better classification accuracy can be obtained at a much lower computational cost.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {University of Milan Bicocca, Italy}, author = {Folino, Gianluigi and Pizzuti, Clara and Spezzano, Giandomenico}, biburl = {https://www.bibsonomy.org/bibtex/20676a0df1d4f886daf8cc46912c11163/brazovayeye}, booktitle = {AI*IA Workshop on Evolutionary Computation, Evoluzionistico GSICE05}, editor = {Manzoni, Sara and Palmonari, Matteo and Sartori, Fabio}, interhash = {db99be6c6bee86491112370e859717cb}, intrahash = {0676a0df1d4f886daf8cc46912c11163}, isbn = {88-900910-0-2}, keywords = {algorithms, boosting classification, data genetic mining, programming,}, month = {20 September}, notes = {http://www.ce.unipr.it/people/cagnoni/gsice2005/gsice-eng.pdf Workshop proceedings on CD-ROM only. Workshop held in-conjunction with the IX Congress of the Italian Association for Artificial Intelligence. In English. ICAR-CNR, Via P.Bucci 41C, Univ. della Calabria 87036 Rende (CS), Italy}, size = {10 pages}, timestamp = {2008-06-19T17:39:42.000+0200}, title = {{GP} Ensembles for improving multi-class prediction problems}, year = 2005 }