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...
We show how to teach and motivate small quantum computer programs as a supplemental topic in a CS2 data structures class. A traditional example such as Shor’s factorization [8] ...
Abstract-- This paper presents a proposal for group membership and access control services for JXTA, both based on the principle of self-organization and collaboration of peer grou...
Joan Arnedo-Moreno, Jordi Herrera-Joancomart&iacut...
This paper explores the potential for annotating and enriching data for low-density languages via the alignment and projection of syntactic structure from parsed data for resource...
- Protein folding conformations take the form of networks, sets of conformations (vertices) joined together in pairs by links or edges. Protein folding conformation network is a co...