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TROB
2010
129views more  TROB 2010»
13 years 6 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
IPPS
2003
IEEE
14 years 1 months ago
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Component-based models represent a dominant trend in the construction of wide-area network applications, making possible the integration of diverse functionality contained in modu...
Tatiana Kichkaylo, Anca-Andreea Ivan, Vijay Karamc...
COLOGNETWENTE
2008
13 years 10 months ago
Constrained Decompositions of Integer Matrices and their Applications to Intensity Modulated Radiation Therapy
We consider combinatorial optimization problems arising in radiation therapy. Given a matrix I with non-negative integer entries, we seek for a decomposition of I as a weighted su...
Céline Engelbeen, Samuel Fiorini
CEC
2010
IEEE
13 years 9 months ago
Constrained global optimization of low-thrust interplanetary trajectories
The optimization of spacecraft trajectories can be formulated as a global optimization task. The complexity of the problem depends greatly on the problem formulation, on the spacec...
Chit Hong Yam, David Di Lorenzo, Dario Izzo
BMCBI
2007
121views more  BMCBI 2007»
13 years 8 months ago
A constrained polynomial regression procedure for estimating the local False Discovery Rate
Background: In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (lFDR), which...
Cyril Dalmasso, Avner Bar-Hen, Philippe Broët