We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
In this paper we propose a passive conformance testing technique applied to a Mobile ad hoc network (MANET) routing protocol, OLSR, that is characterized by a dynamically changing...
Security is a critical issue in dynamic and open distributed environments such as network-based services or wireless networks. To ensure that a certain level of security is maintai...