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UAI
2003
15 years 8 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
EMSOFT
2010
Springer
15 years 4 months ago
Optimal WCET-aware code selection for scratchpad memory
We propose the first polynomial-time code selection algorithm for minimising the worst-case execution time of a nonnested loop executed on a fully pipelined processor that uses sc...
Hui Wu, Jingling Xue, Sridevan Parameswaran
INFOCOM
2011
IEEE
14 years 10 months ago
Optimizing network-coded cooperative communications via joint session grouping and relay node selection
Abstract—Network-coded cooperative communications (NCCC) is a new paradigm in wireless networks that employs network coding (NC) to improve the performance of CC. The core mechan...
Sushant Sharma, Yi Shi, Y. Thomas Hou, Hanif D. Sh...
ESWS
2011
Springer
14 years 10 months ago
Optimizing Query Shortcuts in RDF Databases
The emergence of the Semantic Web has led to the creation of large semantic knowledge bases, often in the form of RDF databases. Improving the performance of RDF databases necessit...
Vicky Dritsou, Panos Constantopoulos, Antonios Del...
AAAI
2011
14 years 6 months ago
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents
Planning agents often lack the computational resources needed to build full planning trees for their environments. Agent designers commonly overcome this finite-horizon approxima...
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis