Because of the importance of special functions, several books and a large collection of papers have been devoted to the numerical computation of these functions, the most well-know...
Franky Backeljauw, Stefan Becuwe, Annie A. M. Cuyt
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
It is very hard to fix a software failure without being able to reproduce it. However, reproducing a failure is often difficult and time-consuming. This paper proposes a novel tech...
We prove that for any positive integer k, there is a constant ck such that a randomly selected set of cknk log n Boolean vectors with high probability supports a balanced k-wise i...
Top-k queries based on ranking elements of multidimensional datasets are a fundamental building block for many kinds of information discovery. The best known general-purpose algor...