74 search results - page 4 / 15 » Optimal robust expensive optimization is tractable |
86
Voted
EMSOFT
2007
Springer
15 years 5 months ago
2007
Springer
Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
102
Voted
ICALP
2010
Springer
15 years 3 months ago
2010
Springer
The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should...
84
Voted
HPCA
2008
IEEE
15 years 11 months ago
2008
IEEE
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
93
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
71
Voted
GECCO
2005
Springer
15 years 4 months ago
2005
Springer
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...