105 search results - page 14 / 21 » Persistence in discrete optimization under data uncertainty |
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
JUCS
2010
14 years 7 months ago
2010
: The purpose of this paper is to address some theoretical issues related to the track-to-track fusion problem when the measurements tracking the same target are inherently correla...
FOCS
2005
IEEE
15 years 3 months ago
2005
IEEE
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
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MOR
2007
14 years 9 months ago
2007
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Predictable allocations of security resources such as police officers, canine units, or checkpoints are vulnerable to exploitation by attackers. Recent work has applied game-theo...