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IJCAI
2007
13 years 11 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
PAMI
2007
176views more  PAMI 2007»
13 years 9 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas
ICDCS
2007
IEEE
14 years 4 months ago
Two-Tier Multiple Query Optimization for Sensor Networks
When there are multiple queries posed to the resourceconstrained wireless sensor network, it is critical to process them efficiently. In this paper, we propose a Two-Tier Multipl...
Shili Xiang, Hock-Beng Lim, Kian-Lee Tan, Yongluan...
ICIP
2002
IEEE
14 years 11 months ago
How a simple shift can significantly improve the performance of linear interpolation
We present a simple, original method to improve piecewise linear interpolation with uniform knots: We shift the sampling knots by a fixed amount, while enforcing the interpolation...
Michael Unser, Philippe Thévenaz, Thierry B...
EOR
2011
106views more  EOR 2011»
13 years 1 months ago
Probability of unique integer solution to a system of linear equations
We consider a system of m linear equations in n variables Ax = d and give necessary and sufficient conditions for the existence of a unique solution to the system that is integer:...
O. L. Mangasarian, Benjamin Recht