The subArctic user interface toolkit has extensibility as one of its central goals. It seeks not only to supply a powerful library of reusable interactive objects, but also make i...
Solid frameworks and toolkits for design and analysis of embedded systems are of high importance, since they enable early reasoning about critical properties of a system. This pap...
Egor R. V. Bondarev, Michel R. V. Chaudron, Peter ...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Students whose professional qualifications are gained through work placement-based learning are assessed as to their competency to carryout tasks. These students are usually suppo...
Pei Zhang, David E. Millard, Gary B. Wills, Yvonne...
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...