Data generalization is widely used to protect identities and prevent inference of sensitive information during the public release of microdata. The k-anonymity model has been exte...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Abstract. In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains such as distributed senso...
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, W...
Dynamic voltage and frequency scaling (DVFS) is a widely-used method for energy-efficient computing. In this paper, we present a new intra-task online DVFS scheme for multiple clo...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
This paper describes efforts by the University of Pennsylvania's Linguistic Data Consortium to create and distribute shared linguistic resources – including data, annotation...