Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Indirect branches have become increasingly common in modular programs written in modern object-oriented languages and virtualmachine based runtime systems. Unfortunately, the pred...
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Cognitive radio, which enables dynamic access of under-utilized licensed spectrums, is a promising technology for more efficient spectrum utilization. Since cognitive radio enables...