Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...

(Jena, Germany) Doing pioneer work in science and answering questions of the future--these are tasks of young researchers that the European Research Council (ERC) supports with ERC Starting Grants.

In this paper we considera classic problem concerning the high excursion probabilities of a Gaussian random field f living on a compact set T. We develop efficient computational methods for the tail ...

In the latest in the Let’s Talk Exascale podcast series, Tzanio Kolev of Lawrence Livermore National Laboratory describes the work at the Center for Efficient Exascale Discretizations (CEED), one of ...

Space manipulators play an important role in the on-orbit services and planetary surface operation whose reliability is a key ...

Scientists at the University of Texas at Austin, IBM Research, New York University and the California Institute of Technology have been awarded the 2015 Gordon Bell Prize for realistically simulating ...