2 citations · 2 across the 1 of their papers we have counts for
3 papers
Relational Constraints for Metric Learning on Relational Data
Jiajun Pan, Hoel Le Capitaine, Philippe Leray
Most of metric learning approaches are dedicated to be applied on data described by feature vectors, with some notable exceptions such as times series, trees or graphs. The objecti…
Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy
Maroua Haddad, Philippe Leray, Nahla Ben Amor
There has been an ever-increasing interest in multidisciplinary research on representing and reasoning with imperfect data. Possibilistic networks present one of the powerful frame…
Probabilistic Relational Model Benchmark Generation
Mouna Ben Ishak, Rajani Chulyadyo, Philippe Leray
The validation of any database mining methodology goes through an evaluation process where benchmarks availability is essential. In this paper, we aim to randomly generate relation…