Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Many divide-and-conquer algorithms employ the fact that the vertex set of a graph of bounded treewidth can be separated in two roughly balanced subsets by removing a small subset o...
Fedor V. Fomin, Daniel Lokshtanov, Fabrizio Grando...
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
Partitioning is the dominant technique to transmit large files in peer-to-peer networks. A peer can redistribute each part immediately after its download. BitTorrent combines thi...
Arne Vater, Christian Schindelhauer, Christian Ort...
Background: As one of the most widely used parsimony methods for ancestral reconstruction, the Fitch method minimizes the total number of hypothetical substitutions along all bran...
Jialiang Yang, Jun Li, Liuhuan Dong, Stefan Gr&uum...