Although coupling interaction resources is key to ubiquitous computing, this notion has been overlooked in previous studies. In this paper, we address this notion in a more system...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Abstract. We investigate the use of parameterized state machine models to drive integration testing, in the case where the models of components are not available beforehand. Theref...
In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent e...
Abstract. As an alternative to message passing, Rochester's InterWeave system allows the programmer to map shared segments into programs spread across heterogeneous, distribut...