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AAAI
2000
15 years 4 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
ADHOCNOW
2009
Springer
15 years 4 months ago
On Minimizing the Maximum Sensor Movement for Barrier Coverage of a Line Segment
We consider n mobile sensors located on a line containing a barrier represented by a finite line segment. Sensors form a wireless sensor network and are able to move within the lin...
Jurek Czyzowicz, Evangelos Kranakis, Danny Krizanc...
CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 10 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
CGO
2011
IEEE
14 years 6 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
WABI
2005
Springer
120views Bioinformatics» more  WABI 2005»
15 years 8 months ago
Multiple Structural RNA Alignment with Lagrangian Relaxation
In contrast to proteins, many classes of functionally related RNA molecules show a rather weak sequence conservation but instead a fairly well conserved secondary structure. Hence ...
Markus Bauer, Gunnar W. Klau, Knut Reinert