# AHP-Based Classifier Combination

### László Felföld, András Kocsor

#### Abstract

Classifier combinations are effective techniques for difficult pattern recognition problems such as speech recognition where the combination of differently trained classifiers can produce a more robust phoneme classification on noisy datasets. In this paper we investigate traditional linear combination schemes (e.g. arithmetic mean and least squares methods), and propose a new combiner based on the Analytic Hierarchy Process (AHP), a method frequently applied in mathematical psychology and multi-criteria decision making. In addition, we experimentally compare the applicability of these linear combination schemes using neural network classifiers on a speech recognition framework and two test sets from the UCI repository.

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#### Paper Citation

#### in Harvard Style

Felföld L. and Kocsor A. (2004). **AHP-Based Classifier Combination** . In *Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)* ISBN 972-8865-01-5, pages 45-58. DOI: 10.5220/0002680200450058

#### in Bibtex Style

@conference{pris04,

author={László Felföld and András Kocsor},

title={AHP-Based Classifier Combination},

booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)},

year={2004},

pages={45-58},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0002680200450058},

isbn={972-8865-01-5},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)

TI - AHP-Based Classifier Combination

SN - 972-8865-01-5

AU - Felföld L.

AU - Kocsor A.

PY - 2004

SP - 45

EP - 58

DO - 10.5220/0002680200450058