We present an interior-point penalty method for nonlinear programming (NLP), where the merit function consists of a piecewise linear penalty function (PLPF) and an 2-penalty functi...
There are many settings in which users of a social media application provide evaluations of one another. In a variety of domains, mechanisms for evaluation allow one user to say w...
Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kl...
We consider the problem of improving the performance of web access by proposing a reconstruction of the internal link structure of a web site in order to match the quality of the ...
John D. Garofalakis, Panagiotis Kappos, Christos M...
We give improvements over fixed parameter tractable (FPT) algorithms to solve the Kemeny aggregation problem, where the task is to summarize a multi-set of preference lists, call...
We aim at providing artificial agents with logical tools to reason specifically on privacy-related regulations, in order to comply with them. In order to express these regulatio...