Abstract. We aim to provide information hiding support in concurrent object-oriented programming languages. We study the issue both at the object level and class level, in the cont...
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
We present a new approach to information flow control (IFC), ploits counterexample-guided abstraction refinement (CEGAR) technology. The CEGAR process is built on top of our existi...
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Abstract. In a spoken dialogue system, the speech recognition performance accounts for the largest part of the overall system performance. Yet spontaneous speech recognition has an...