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FOCS
2005
IEEE
16 years 7 days ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
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
PODC
2010
ACM
15 years 10 months ago
A modular approach to shared-memory consensus, with applications to the probabilistic-write model
We define two new classes of shared-memory objects: ratifiers, which detect agreement, and conciliators, which ensure agreement with some probability. We show that consensus can...
James Aspnes
DEXA
2006
Springer
116views Database» more  DEXA 2006»
15 years 8 months ago
Interpolating and Using Most Likely Trajectories in Moving-Objects Databases
In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesi...
Byunggu Yu, Seon Ho Kim
CORR
2006
Springer
123views Education» more  CORR 2006»
15 years 6 months ago
Counting good truth assignments of random k-SAT formulae
We present a deterministic approximation algorithm to compute logarithm of the number of `good' truth assignments for a random k-satisfiability (k-SAT) formula in polynomial ...
Andrea Montanari, Devavrat Shah
CSFW
2011
IEEE
14 years 6 months ago
Dynamic Enforcement of Knowledge-Based Security Policies
—This paper explores the idea of knowledge-based security policies, which are used to decide whether to answer queries over secret data based on an estimation of the querier’s ...
Piotr Mardziel, Stephen Magill, Michael Hicks, Mud...