Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Next generation Web 2.0 communities and distributed P2P systems rely on the cooperation of diverse user populations spread across numerous administrative and security domains. Zero...
Gayatri Swamynathan, Kevin C. Almeroth, Ben Y. Zha...
Reliability-aware power management (RAPM) has been a recent research focus due the negative effects of the popular power management technique dynamic voltage and frequency scaling ...
With the technical advances in ubiquitous computing and wireless networking, there has been an increasing need to capture the context information (such as the location) and to figu...
Hyuk Lim, Lu-Chuan Kung, Jennifer C. Hou, Haiyun L...
The rapid adoption of XML as the standard for data representation and exchange foreshadows a massive increase in the amounts of XML data collected, maintained, and queried over th...
Neoklis Polyzotis, Minos N. Garofalakis, Yannis E....