Abstract. The paper presents a partial order reduction method applicable to networks of timed automata. The advantage of the method is that it reduces both the number of explored c...
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
The ability of communicating with a selected party anonymously is an important aspect of network security. Communicating anonymously means that no adversary can discern who is com...