Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...
Abstract: We have surveyed three molecular biology labs in Germany and Vietnam to evaluate practical problems in the management of molecular genetics data. These labs are generatin...
Truong Van Chi Cong, Zhivko Duchev, Eildert Groene...
Economic incentives have driven the semiconductor industry to separate design from fabrication in recent years. This trend leads to potential vulnerabilities from untrusted circui...
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...