We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
The design and analysis of today’s complex real-time systems requires advanced methods. Due to ever growing functionality, hardware complexity and component interaction, applyin...
We describe a system as a set of communicating concurrent programs. Quasi-static scheduling compiles the concurrent programs into a sequential one. It uses a Petri net as an inter...
Cong Liu, Alex Kondratyev, Yosinori Watanabe, Albe...
Highly interactive web applications that offer user experience and responsiveness of desktop applications are becoming increasingly popular. They are often composed out of visual...