Background: The estimation of the difference between two evolutionary distances within a triplet of homologs is a common operation that is used for example to determine which of t...
Christophe Dessimoz, Manuel Gil, Adrian Schneider,...
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Abstract. The paper "Scrap your boilerplate" (SYB) introduces a combinator library for generic programming that offers generic traversals and queries. Classically, suppor...
Within the Bluetooth mobile space, overwhelmingly large sets of interaction and encounter data can very quickly be accumulated. This presents a challenge to gaining an understandi...
Daragh Byrne, Barry Lavelle, Gareth J. F. Jones, A...
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...