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ECML
2006
Springer
14 years 14 days ago
Bayesian Active Learning for Sensitivity Analysis
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...
Tobias Pfingsten
NN
2002
Springer
125views Neural Networks» more  NN 2002»
13 years 8 months ago
Neuromodulation of decision and response selection
We present a model for the attentional neuromodulation of decision and selection processes. The model assumes that phasic responses in the brain nucleus Locus Coeruleus modulate, ...
Marius Usher, Eddy J. Davelaar
ICDE
2010
IEEE
212views Database» more  ICDE 2010»
13 years 9 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang
TROB
2010
129views more  TROB 2010»
13 years 7 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...
ISLPED
2004
ACM
102views Hardware» more  ISLPED 2004»
14 years 2 months ago
Microarchitectural power modeling techniques for deep sub-micron microprocessors
The need to perform early design studies that combine architectural simulation with power estimation has become critical as power has become a design constraint whose importance h...
Nam Sung Kim, Taeho Kgil, Valeria Bertacco, Todd M...