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Adding new features and classes to classifiers evolved using genetic programming

Yimyam, P and Clark, AF (2013) Adding new features and classes to classifiers evolved using genetic programming. In: UNSPECIFIED, ? - ?.

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Abstract

This paper considers the need to re-train a multiclass classifier that has initially been evolved using genetic programming to accommodate new features or new classes. For the former, the new feature is incorporated into a program by mutation; after that, a program that performs classification using all the features is obtained by evolution. For the latter, a binary classifier is evolved that is able to distinguish the new class from all existing classes is evolved, and it is executed before the existing classification programs. The two approaches are demonstrated on a range of classification problems drawn from the general area of produce grading and the results demonstrate the effectiveness of the proposed approach, in terms of both computational speed and classification performance. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2013 International Conference on Electronics, Computer and Computation, ICECCO 2013
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 22 Jul 2015 12:37
Last Modified: 05 Feb 2019 19:15
URI: http://repository.essex.ac.uk/id/eprint/14400

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