The VC dimension is a key notion in statistical learning theory and plays an important role in estimating the generalization performance of a learning method.

Abstract. The idea of using the Choquet integral as an aggregation op- erator in machine learning has gained increasing attention in recent years,.

The VC dimension is a key notion in statistical learning theory and plays an important role in estimating the generalization performance of a learning method.

This paper addresses the question what is the VC dimension of the Choquet integral when being used as a binary classifier and provides a first interesting ...

In this paper, we therefore address the following question: What is the VC dimension of the (discrete) Choquet integral when be- ing used as a binary classifier ...

The VC dimension is a key notion in statistical learning theory and plays an important role in estimating the generalization performance of a learning method.

Eyke Hüllermeier, Ali Fallah Tehrani: On the VC-Dimension of the Choquet Integral. IPMU (1) 2012: 42-50. a service of Schloss Dagstuhl - Leibniz Center for ...

Apr 5, 2022 · ... On the VC-Dimension of the Choquet Integral. In: Greco, Salvatore; Bouchon-Meunier, Bernadette; Coletti, Gulianella; Fedrizzi, Mario ...

Hüllermeier, Eyke, and A. Fallah Tehrani. “On the VC Dimension of the Choquet Integral.” In In Proceedings IPMU-2012 14th International Conference on ...

2014. On the VC-Dimension of the Choquet Integral. E Hüllermeier, A Fallah Tehrani. Advances on Computational Intelligence, 42-50, 2012. 11, 2012. Education 4.0 ...