— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Applications using traditional protocol stacks (e.g TCP/IP) from wired networks do not function efficiently in mobile wireless scenarios. This is primarily due to the layered archi...
Abstract--We consider the problem of setting the uplink signalto-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multip...
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Automatic physical database design tools rely on "what-if" interfaces to the query optimizer to estimate the execution time of the training query workload under differen...