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» A framework for distributed simulation optimization
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ATAL
2006
Springer
15 years 10 months ago
Learning executable agent behaviors from observation
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
DASFAA
2006
IEEE
174views Database» more  DASFAA 2006»
15 years 10 months ago
Communication-Efficient Implementation of Range-Joins in Sensor Networks
Sensor networks are multi-hop wireless networks of resource constrained sensor nodes used to realize high-level collaborative sensing tasks. To query and access data generated and ...
Aditi Pandit, Himanshu Gupta
185
Voted
AUTONOMICS
2008
ACM
15 years 8 months ago
Building multicast trees in ad-hoc networks
Multicast trees are used in a variety of applications, such as publish/subscribe systems or content distribution networks. Existing algorithms for ad-hoc networks typically produc...
Raphaël Kummer, Peter G. Kropf, Pascal Felber
DIALM
2008
ACM
168views Algorithms» more  DIALM 2008»
15 years 8 months ago
Local broadcasting in the physical interference model
In this work we analyze the complexity of local broadcasting in the physical interference model. We present two distributed randomized algorithms: one that assumes that each node ...
Olga Goussevskaia, Thomas Moscibroda, Roger Watten...
144
Voted
NIPS
2007
15 years 7 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...