We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
- Multiple distribution trees and multiple description (MD) coding are highly robust since they provide redundancy both in network paths and data. However, MD coded streaming inclu...
In ubiquitous computing environment, identification of objects and places in the real world is important, and 2-D printing code is useful to store identifiers of them. However, si...
Abstract--BitTorrent is the most popular file sharing protocol on the Internet. It is proved that its performance are nearoptimal for generic file distribution when the overlay is ...
Salvatore Spoto, Rossano Gaeta, Marco Grangetto, M...