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112
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CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
14 years 10 months ago
Observational learning in an uncertain world
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...
145
Voted
APIN
2004
116views more  APIN 2004»
15 years 3 months ago
Neural Learning from Unbalanced Data
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...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
110
Voted
LCN
2007
IEEE
15 years 10 months ago
Efficient MD Coding Core Selection to Reduce the Bandwidth Consumption
- 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...
Sunoh Choi, Sang-Seon Byun, Chuck Yoo
137
Voted
AINA
2007
IEEE
15 years 7 months ago
Verifying Identifier-Authenticity in Ubiquitous Computing Environment
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...
Tetsuo Kamina, Toshinori Aoki, Yoshiteru Eto, Nobo...
IPPS
2010
IEEE
15 years 1 months ago
BitTorrent and fountain codes: friends or foes?
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...