We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
— To ensure security and robustness of the next generation of Physically Unclonable Functions (PUFs), we have developed a new methodology for PUF design. Our approach employs int...
An integrated model-based development approach has to capture the relationship between requirements, design, and implementation models. In the requirements engineering phase, the m...
Abstract. This paper is part of a general project of developing a systematic and algebraic proof theory for nonclassical logics. Generalizing our previous work on intuitionistic-su...