This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
Abstract. Current hardware trends place increasing pressure on programmers and tools to optimize scientific code. Numerous tools and techniques exist, but no single tool is a pana...
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
We study auctions for a commodity in unlimited supply, e.g., a digital good. In particular we consider three desirable properties for auctions: • Competitive: the auction achiev...