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...
Many analysis techniques and decidability results have been obtained for cryptographic protocols. However all of them consider protocols with limited procedures for the processing ...
Abstract. The recently proposed notion of an elementary set yielded a refinement of the theorem on loop formulas, telling us that the stable models of a disjunctive logic program ...
Background. This research group has been working towards building an environment which helps software development, providing support to some activities mainly based on use case mo...
3D imaging is a popular method for acquiring accurate models for a variety of applications. However, the size of the geometric features that can be modeled in this manner is depen...