EXPERIMENTS ON SOLVING MULTICLASS RECOGNITION TASKS IN THE BIOLOGICAL AND MEDICAL DOMAINS
Paolo Soda
2008
Abstract
Multiclass learning problems can be cast as the task of assigning instances to a finite set of classes. Although in the wide variety of learning tools there exist some algorithms capable of handling polychotomies, many of the tools were designed by nature for dichotomies. In the literature, many techniques that decompose a polychotomy into a series of dichotomies have been proposed. One of the possible approaches, known as one-per-class, is based on a pool of binary modules, where each one distinguishes the elements of one class from those of the others. In this framework, we propose a novel reconstruction criterion, i.e. a rule that sets the final decision on the basis of the single binary classifications. It looks at the quality of the current input and, more specifically, it is a function of the reliability of each classification act provided by the binary modules. The approach has been tested on four biological and medical datasets and the achieved performance has been compared with the one previously reported in the literature, showing that the method improves the accuracies so far.
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Paper Citation
in Harvard Style
Soda P. (2008). EXPERIMENTS ON SOLVING MULTICLASS RECOGNITION TASKS IN THE BIOLOGICAL AND MEDICAL DOMAINS . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 64-71. DOI: 10.5220/0001066500640071
in Bibtex Style
@conference{biosignals08,
author={Paolo Soda},
title={EXPERIMENTS ON SOLVING MULTICLASS RECOGNITION TASKS IN THE BIOLOGICAL AND MEDICAL DOMAINS},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={64-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001066500640071},
isbn={978-989-8111-18-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - EXPERIMENTS ON SOLVING MULTICLASS RECOGNITION TASKS IN THE BIOLOGICAL AND MEDICAL DOMAINS
SN - 978-989-8111-18-0
AU - Soda P.
PY - 2008
SP - 64
EP - 71
DO - 10.5220/0001066500640071