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ATAL
2008
Springer
13 years 11 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
AAAI
2010
13 years 10 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
GPEM
2002
95views more  GPEM 2002»
13 years 9 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
COMPUTER
1999
69views more  COMPUTER 1999»
13 years 8 months ago
Scientific Components Are Coming
abstract mathematical or physical statement, not something specific. The way scientific programmers most frequently verify that their programs are correct is to examine their resul...
Paul F. Dubois
TSP
2010
13 years 3 months ago
Beamforming and rate allocation in MISO cognitive radio networks
We consider decentralized multiantenna cognitive radio networks where the secondary (cognitive) users are granted simultaneous spectrum access along with the license-holding (prima...
Ali Tajer, Narayan Prasad, Xiaodong Wang