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» Persistence in discrete optimization under data uncertainty
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ATAL
2010
Springer
13 years 6 months ago
To teach or not to teach?: decision making under uncertainty in ad hoc teams
In typical multiagent teamwork settings, the teammates are either programmed together, or are otherwise provided with standard communication languages and coordination protocols. ...
Peter Stone, Sarit Kraus
FOCS
2004
IEEE
13 years 9 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 5 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
GLOBECOM
2009
IEEE
13 years 3 months ago
Minimum-Length Scheduling for Multicast Traffic under Channel Uncertainty
Abstract--We consider a set of multicast sources, each multicasting a finite amount of data to its corresponding destinations. The objective is to minimize the time to deliver all ...
Anna Pantelidou, Anthony Ephremides
POPL
2007
ACM
14 years 5 months ago
Extracting queries by static analysis of transparent persistence
Transparent persistence promises to integrate programming languages and databases by allowing procedural programs to access persistent data with the same ease as non-persistent da...
Ben Wiedermann, William R. Cook