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AAAI
2006
13 years 10 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
UAI
2003
13 years 10 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
JCP
2007
143views more  JCP 2007»
13 years 8 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
TIT
2011
116views more  TIT 2011»
13 years 3 months ago
Approximate Characterizations for the Gaussian Source Broadcast Distortion Region
We consider the joint source-channel coding problem of sending a Gaussian source over a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achieva...
Chao Tian, Suhas N. Diggavi, Shlomo Shamai
MMAS
2010
Springer
13 years 3 months ago
Gyrokinetic Vlasov Equation in Three Dimensional Setting. Second Order Approximation
One of the main applications in plasma physics concerns the energy production through thermo-nuclear fusion. The controlled fusion requires the confinement of the plasma into a bo...
Mihai Bostan