Several methods to construct such ensembles have been proposed. However, these methods often lack an explanation facility. This paper proposes methods to ...

Constructing Ensembles of Symbolic Classifiers. Flavia Cristina Bernardini ... This work proposes methods to construct ensembles of symbolic classifiers.

This work proposes methods to construct ensembles of symbolic classifiers. These ensembles can be further explored in order to explain their decisions to the ...

This work proposes methods to construct ensembles of symbolic classifiers. These ensembles can be further explored in order to explain their decisions to the ...

Several methods to construct such ensembles have been proposed. However, these methods often lack an explanation facility. This paper proposes methods to ...

However, ensembles often lack the facility to explain its decisions. In this work we explore a method for constructing ensembles of symbolic classifiers, such ...

Several methods to construct such ensembles have been proposed. However, these methods often lack an explanation facility. This work proposes methods to ...

In what follows, we describe a method we are proposing for constructing ensembles using few symbolic classifiers and several voting mechanisms, which enables ...

Jan 10, 2022 · Ensemble learning helps improve machine learning results by combining several models. This approach allows the production of better predictive performance.

Flávia Cristina Bernardini , Maria Carolina Monard, Ronaldo C. Prati : Constructing Ensembles of Symbolic Classifiers. HIS 2005: 315-322.