Model Complexity Control in Straight Line Program Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{conf/ijcci/AlonsoMB13,
-
author = "Cesar Luis Alonso and Jose Luis Montana and
Cruz Enrique Borges",
-
title = "Model Complexity Control in Straight Line Program
Genetic Programming",
-
booktitle = "Proceedings of the 5th International Joint Conference
on Computational Intelligence, IJCCI 2013",
-
year = "2013",
-
editor = "Agostinho C. Rosa and Antonio Dourado and
Kurosh Madani Correia and Joaquim Filipe and Janusz Kacprzyk",
-
pages = "25--36",
-
address = "Vilamoura, Algarve, Portugal",
-
month = "20-22 " # sep,
-
publisher = "SciTePress",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-989-8565-77-8",
-
bibdate = "2014-05-15",
-
bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/ijcci/ijcci2013.html#AlonsoMB13",
-
URL = "https://ijcci.scitevents.org/Abstract.aspx?idEvent=0fEvcjBHBM8=",
-
URL = "https://www.scitepress.org/Link.aspx?doi=10.5220/0004554100250036",
-
DOI = "doi:10.5220/0004554100250036",
-
abstract = "In this paper we propose a tool for controlling the
complexity of Genetic Programming models. The tool is
supported by the theory of Vapnik-Chervonekis dimension
(VCD) and is combined with a novel representation of
models named straight line program. Experimental
results, implemented on conventional algebraic
structures (such as polynomials) and real problems,
show that the empirical risk, penalized by suitable
upper bounds for the Vapnik-Chervonenkis dimension,
gives a generalisation error smaller than the use of
statistical conventional techniques such as Bayesian or
Akaike information criteria.",
-
notes = "See also \cite{Alonso:2016:CI}",
- }
Genetic Programming entries for
Cesar Luis Alonso
Jose Luis Montana Arnaiz
Cruz Enrique Borges
Citations