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AMAI
2004
Springer
14 years 2 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
ATAL
2009
Springer
14 years 3 months ago
Sensitivity analysis for distributed optimization with resource constraints
Previous work in multiagent coordination has addressed the challenge of planning in domains where agents must optimize a global goal, while satisfying local resource constraints. ...
Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tamb...
CVPR
2005
IEEE
14 years 10 months ago
Optimal Point Correspondence through the Use of Rank Constraints
We propose a solution to the n-frame correspondence problem under the factorization framework. During the matching process, our algorithm takes explicitly into account the geometr...
João Costeira, João Xavier, Ricardo ...
ICC
2009
IEEE
135views Communications» more  ICC 2009»
13 years 6 months ago
Optimal Power Allocation for Cognitive Radio Under Primary User's Outage Loss Constraint
In this paper, we consider a secondary link sharing the spectrum with a primary link in a fading cognitive radio (CR) network. Instead of applying the conventional interference pow...
Xin Kang, Rui Zhang, Ying-Chang Liang, Hari Krishn...
SPLC
2008
13 years 10 months ago
Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
Jules White, B. Doughtery, Douglas C. Schmidt