In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
High-speed serial network interfaces are gaining wide use in connecting multiple processors and peripherals in modern embedded systems, thanks to their size advantage and power ef...
We consider the problem of automatically generating viewpoint motions for a virtual camera tracking a moving target. Given the target's trajectory, we plan the motion of a ca...
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems which allow higher processor utilization and enhanced schedulability by using exact...