Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Static analysers are becoming so complex that it is crucial to ascertain the soundness of their results in a provable way. In this paper we develop a certified checker in Coq that ...
Abstract. This paper details a collaboration between Aalborg University and NOVO Nordisk in developing an automatic model-based test generation tool for system testing of the graph...
Ulrik H. Hjort, Jacob Illum Rasmussen, Kim Guldstr...
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Abstract. We present a new open source model checker, opaal, for automatic verification of models using lattice automata. Lattice automata allow the users to incorporate abstracti...