The bounded multiple-class binary knapsack problem is a variant of the knapsack problem where the items are partitioned into classes and the item weights in each class are a multip...
In many NLP systems, there is a unidirectional flow of information in which a parser supplies input to a semantic role labeler. In this paper, we build a system that allows inform...
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
The accurate and efficient modeling of Internet worms is a particularly challenging task for network simulation tools. The atypical and aggressive behavior of these worms can easi...
nt selection mechanism at a high-level of abstraction to decouple aspects from the application code. To this regard, we adopt a high-level pattern-based join point model, where joi...