After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
In modern software systems, programs are obtained by dynamically assembling components. This has made it necessary to subject component providers to access-control restrictions. W...
Emmanuel Geay, Marco Pistoia, Takaaki Tateishi, Ba...
Recent development on distributed systems has shown that a variety of fairness constraints (some of which are only recently defined) play vital roles in designing self-stabilizing ...
Jun Sun 0001, Yang Liu 0003, Jin Song Dong, Jun Pa...
We consider the problem of cooperative intrusion detection in wireless sensor networks where the nodes are equipped with local detector modules and have to identify the intruder in...
Ioannis Krontiris, Zinaida Benenson, Thanassis Gia...