Background: The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to ann...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Abstract. We had claimed that arc-consistency is preserved in a constraint reformulation relying on functional dependencies (Theorem 2 of [2]). We show that the statement of this t...
By functionally decomposing a specific algorithm (the hierarchical secure aggregation algorithm of Chan et al. [3] and Frikken et al. [7]), we uncover a useful general functionali...