Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
This article formalises the dual problem to model-based diagnosis (MBD), i.e., generating tests to isolate multiple simultaneous faults. Using a standard propositional MBD framewo...
The aim of this paper is to provide an analysis of the function of imperatives in dialogue. In particular, the focus is on the use of logically complex imperatives (e.g., `Say hel...
Feature modeling is a widely used technique in Software Product Line development. Feature models allow stakeholders to describe domain concepts in terms of commonalities and diffe...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...