In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
In this paper, we propose two fault models and methods for the derivation of interoperability test suites when the system implementation is given in the form of two deterministic c...
The power consumption of a sequential circuit can be reduced by decomposing it into subcircuits which can be turned off when inactive. Power can also be reduced by careful state e...
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Synchronous transactional logging is the central mechanism for ensuring data persistency and recoverability in database systems. Unfortunately, magnetic disks are ill-suited for t...