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ICML
2007
IEEE
14 years 11 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ATAL
2007
Springer
14 years 4 months ago
Distributed task allocation in social networks
This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. W...
Mathijs de Weerdt, Yingqian Zhang, Tomas Klos
IWCMC
2006
ACM
14 years 4 months ago
Detecting spatial congestion in multihop wireless networks
While TCP is highly successful in the wire-line Internet, its performance fast degrades as the number of hops increases in multihop wireless networks. It is due to not only the ha...
Changhee Joo, Saewoong Bahk, Hyogon Kim
MOBIHOC
2010
ACM
13 years 8 months ago
Longest-queue-first scheduling under SINR interference model
We investigate the performance of longest-queue-first (LQF) scheduling (i.e., greedy maximal scheduling) for wireless networks under the SINR interference model. This interference...
Long Bao Le, Eytan Modiano, Changhee Joo, Ness B. ...
ALGOSENSORS
2009
Springer
14 years 5 months ago
Compressing Kinetic Data from Sensor Networks
We introduce a framework for storing and processing kinetic data observed by sensor networks. These sensor networks generate vast quantities of data, which motivates a significant...
Sorelle A. Friedler, David M. Mount