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Authors: Athanasios Tsakonas and Bogdan Gabrys

Affiliation: Bournemouth University, United Kingdom

Keyword(s): Ensemble Systems, Fuzzy Rule-based Systems, Function Approximation, Genetic Programming.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Hybrid Systems ; Representation Techniques ; Soft Computing

Abstract: In this paper, we attempt to incorporate trained base learners outputs as inputs to the antecedent parts in fuzzy rule-based construction of hybrid ensembles. To accomplish this we adopt a versatile framework for the production of ensemble systems that uses a grammar driven genetic programming to evolve combinations of multilayer perceptrons and support vector machines. We evaluate the proposed architecture using three realworld regression tasks and compare it with multi-level, hierarchical ensembles. The conducted preliminary experiments showed very interesting results indicating that given a large pool of base predictors to choose from, the outputs of some of them, when applied to fuzzy sets, can be used as selectors for building accurate ensembles from other more accurate and complementary members of the same base predictor pool.

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Paper citation in several formats:
Tsakonas, A. and Gabrys, B. (2012). Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System. In Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - ECTA; ISBN 978-989-8565-33-4; ISSN 2184-3236, SciTePress, pages 34-41. DOI: 10.5220/0004147600340041

@conference{ecta12,
author={Athanasios Tsakonas. and Bogdan Gabrys.},
title={Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - ECTA},
year={2012},
pages={34-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004147600340041},
isbn={978-989-8565-33-4},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence (IJCCI 2012) - ECTA
TI - Fuzzy Base Predictor Outputs as Conditional Selectors for Evolved Combined Prediction System
SN - 978-989-8565-33-4
IS - 2184-3236
AU - Tsakonas, A.
AU - Gabrys, B.
PY - 2012
SP - 34
EP - 41
DO - 10.5220/0004147600340041
PB - SciTePress

- Science and Technology Publications, Lda.
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