We define an “enriched effect calculus” by extending a type theory for computational effects with primitives from linear logic. The new calculus, which generalises intuitionis...
Privacy and security have always been key concerns for individuals. They have also been closely related concepts: in order to increase their perception of security, people sacri...
We develop a module-based framework for constraint modeling where it is possible to combine different constraint modeling languages and exploit their strengths in a flexible way. ...
Abstract. The Transferable Belief Model (TBM) relies on belief functions and enables one to represent and combine a variety of knowledge from certain up to ignorance as well as con...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...