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» Mobility of Data in Distributed Hybrid Computing Systems
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CCGRID
2006
IEEE
16 years 23 days ago
Large Scale Distributed Simulation on the Grid
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Georgios K. Theodoropoulos, Yi Zhang, Dan Chen, Ro...
CCS
2009
ACM
16 years 1 months ago
On non-cooperative location privacy: a game-theoretic analysis
In mobile networks, authentication is a required primitive of the majority of security protocols. However, an adversary can track the location of mobile nodes by monitoring pseudo...
Julien Freudiger, Mohammad Hossein Manshaei, Jean-...
CONCUR
2009
Springer
16 years 1 months ago
HYPE: A Process Algebra for Compositional Flows and Emergent Behaviour
Several process algebras for modelling hybrid systems have appeared in the literature in recent years. These all assume that continuous variables in the system are modelled monolit...
Vashti Galpin, Luca Bortolussi, Jane Hillston
SIGOPSE
1998
ACM
15 years 11 months ago
Nested Java processes: OS structure for mobile code
The majority of work on protection in single-language mobile code environments focuses on information security issues and depends on the language environment for solutions to the ...
Patrick Tullmann, Jay Lepreau