Abstract. Lately, overhearing has gained interest in monitoring multi-agent settings. Previous investigations provided an extensive set of techniques using overhearing. However, mo...
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
Whether they are modeling bookmarking behavior in Flickr or cascades of failure in large networks, models of diffusion often start with the assumption that a few nodes start long ...
Eric Sun, Itamar Rosenn, Cameron Marlow, Thomas M....
Novel online file sharing technologies have created new market dynamics and posed a great challenge to the music industry to try and retain customers. Consumers have created anony...
Sudip Bhattacharjee, Ram D. Gopal, Kaveepan Lertwa...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...