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Author: Paolo Soda

Affiliation: Facoltà di Ingegneria, Università Campus Bio-Medico di Roma, Italy

ISBN: 978-989-8111-18-0

Keyword(s): Statistical Pattern Recognition, Decomposition Methods, One-per-class, Reliability Estimation, Classifier Ensembles.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

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 wi th the one previously reported in the literature, showing that the method improves the accuracies so far. (More)

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Paper citation in several formats:
Soda P. and (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

@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},
}

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

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