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DAGSTUHL
2007
15 years 8 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
NSDI
2010
15 years 8 months ago
Optimizing Cost and Performance in Online Service Provider Networks
Zheng Zhang, Ming Zhang, Albert G. Greenberg, Y. C...
FMOODS
2007
15 years 8 months ago
A Probabilistic Formal Analysis Approach to Cross Layer Optimization in Distributed Embedded Systems
We present a novel approach, based on probabilistic formal methods, to developing cross-layer resource optimization policies for resource limited distributed systems. One objective...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
ICMLA
2007
15 years 8 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
AAAI
2006
15 years 8 months ago
An Asymptotically Optimal Algorithm for the Max k-Armed Bandit Problem
We present an asymptotically optimal algorithm for the max variant of the k-armed bandit problem. Given a set of k slot machines, each yielding payoff from a fixed (but unknown) d...
Matthew J. Streeter, Stephen F. Smith