@inproceedings{55988b99a4c14842b4848ee51c2c3ab4,
title = "Learning topology of a labeled data set with the supervised generative gaussian graph",
abstract = "Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model based on the Delaunay Graph of some prototypes representing the labeled data.",
author = "Gaillard Pierre and Aupetit Micha{\"e}l and Govaert G{\'e}rard",
year = "2007",
language = "English",
isbn = "2930307099",
series = "ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks",
pages = "235--240",
booktitle = "ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks",
note = "15th European Symposium on Artificial Neural Networks, ESANN 2007 ; Conference date: 25-04-2007 Through 27-04-2007",
}