We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
Gene regulatory network model is the most widely used mechanism to model and predict the behavior of living organisms. Network Component Analysis (NCA) as an emerging issue for unc...
Abstract. Model checking is an automated technique that can be used to determine whether a system satisfies certain required properties. The typical approach to verifying propertie...
Dimitra Giannakopoulou, Corina S. Pasareanu, Howar...
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
This paper presents a semantics-based compilation model for an aspect-oriented programming language based on its operational semantics. Using partial evaluation, the model can expl...
Hidehiko Masuhara, Gregor Kiczales, Christopher Du...