We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Fine-grained dynamic voltage/frequency scaling (DVFS) demonstrates great promise for improving the energy-efficiency of chip-multiprocessors (CMPs), which have emerged as a popula...
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
My work has two relationships with End User Software Engineering. First, as an Empirical Software Engineer, I am interested in meeting with people who do research into techniques ...
Abstract. We present and discuss a formal, high-level approach to the specification and composition of interaction protocols for service-oriented systems. This work is being develo...