This paper studies a queuing model in which a buyer sources a good or service from an single supplier chosen from a pool of suppliers. The buyer seeks to minimize the sum of her p...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Unlike machines, we humans are prone to boredom when we perform routine activities for long periods of time. Workers’ mental engagement in boring tasks diminishes, which eventua...
Dvijesh Shastri, Yuichi Fujiki, Ross Buffington, P...
The run-time binding of web services has been recently put forward in order to support rapid and dynamic web service compositions. With the growing number of alternative web servi...