—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
In both the commercial and defense sectors a compelling need is emerging for highly dynamic, yet risk optimized, sharing of information across traditional organizational boundarie...
With the recent advent of dynamically extensible software systems, in which software extensions may be dynamically loaded into the address space of a core application to augment i...
Existing schemes for cache energy optimization incorporate a limited degree of dynamic associativity: either direct mapped or full available associativity (say 4-way). In this pap...
The demand for real-time database services has been increasing recently. Examples include sensor data fusion, stock trading, decision support, web information services, and data-i...