Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
Abstract. While the number and size of Semantic Web knowledge bases increases, their maintenance and quality assurance are still difficult. In this article, we present ORE, a tool ...
Background: Designing maximally selective ligands that act on individual targets is the dominant paradigm in drug discovery. Poor selectivity can underlie toxicity and side effect...
We present TECTLK, a logic to specify knowledge and real time in multi-agent systems. We show that the model checking problem is decidable, and we present an algorithm for TECTLK ...
Abstract. In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements ...