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ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 8 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
MOBISYS
2008
ACM
14 years 9 months ago
Supporting vehicular mobility in urban multi-hop wireless networks
Deployments of city-wide multi-hop 802.11 networks introduce challenges for maintaining client performance at vehicular speeds. We experimentally demonstrate that current network ...
Anastasios Giannoulis, Marco Fiore, Edward W. Knig...
IS
2011
13 years 2 months ago
Detecting proximity events in sensor networks
Sensor networks are often used to perform monitoring tasks, such as animal and vehicle tracking, or the surveillance of enemy forces in military applications. In this paper we int...
Antonios Deligiannakis, Yannis Kotidis
PODC
2011
ACM
13 years 1 months ago
Securing social networks
We present a cryptographic framework to achieve access control, privacy of social relations, secrecy of resources, and anonymity of users in social networks. The main idea is to u...
Michael Backes, Matteo Maffei, Kim Pecina
CPAIOR
2010
Springer
13 years 8 months ago
Boosting Set Constraint Propagation for Network Design
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...
Justin Yip, Pascal Van Hentenryck, Carmen Gervet