Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
In large-scale, distributed software systems, an important management undertaking concerns the creation and runtime modification of application instances. This short paper propose...
This paper introduces a new design method for multi-agent systems (MAS) that incorporate logic programming. The DigitalFriend is an example of a MAS with a built-in logic language...
Steve Goschnick, Sandrine Balbo, Leon Sterling, Ch...
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of this pa...