- author = "William Smart and Mengjie Zhang",
- editor = "Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
- title = "Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems",
- booktitle = "Proceedings of the 8th European Conference on Genetic Programming",
- publisher = "Springer",
- series = "Lecture Notes in Computer Science",
- volume = "3447",
- year = "2005",
- address = "Lausanne, Switzerland",
- month = "30 " # mar # " - 1 " # apr,
- organisation = "EvoNet",
- keywords = "genetic algorithms, genetic programming, image classification",
- ISBN = "3-540-25436-6",
- pages = "227--239",
-
URL = "
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.96.621&rep=rep1&type=pdf",
-
DOI = "
10.1007/978-3-540-31989-4_20",
-
DOI = "10.1007/b107383",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- abstract = "In this paper a method is presented to solve a series of multiple-class object classification problems using Genetic Programming (GP). All component two-class subproblems of the multiple-class problem are solved in a single run, using a multi-objective fitness function. Probabilistic methods are used, with each evolved program required to solve only one subproblem. Programs gain a fitness related to their rank at the subproblem that they solve best. The new method is compared by experiment to two other GP based methods on four multiple-class classification problems of varying difficulty. The new method outperforms the other methods significantly in almost all experiments. The new method often takes a longer running time, but usually reaches a peak in accuracy very early.",
-
notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
conjunction with EvoCOP2005 and EvoWorkshops2005.
PCM, PM, CBD. Shapes. New Zealand coins. Pictures of 4 people.",
