We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
In this paper, we introduce the concept of dynamically changing between centralized, replicated, and hybrid collaboration architectures. It is implemented by providing users a fun...
This paper deals with preference representation and elicitation in the context of multiattribute utility theory under risk. Assuming the decision maker behaves according to the EU...
This paper describes a new approach to programming autonomic systems. Autonomic functions are integrated into element objects at design time using a special language called JSpoon...
Although traditional databases and data warehouses have been exploited widely to manage persistent data, a large number of applications from sensor network need functional support...