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SIAMCO
2011
14 years 4 months ago
Consistency of Sequential Bayesian Sampling Policies
We consider Bayesian information collection, in which a measurement policy collects information to support a future decision. This framework includes ranking and selection, continu...
Peter Frazier, Warren B. Powell
DEXAW
1999
IEEE
202views Database» more  DEXAW 1999»
15 years 2 months ago
Optimizing Global Query Processing Plans in Heterogeneous and Distributed Multidatabase Systems
This work addresses a problem of optimal query processing in heterogeneous and distributed multidatabase systems. The objective is to nd a method for opimization of global query p...
Janusz R. Getta, Seyed M. Sedighi
74
Voted
CORR
2008
Springer
76views Education» more  CORR 2008»
14 years 10 months ago
Communication-avoiding parallel and sequential QR factorizations
We present parallel and sequential dense QR factorization algorithms that are optimized to avoid communication. Some of these are novel, and some extend earlier work. Communicatio...
James Demmel, Laura Grigori, Mark Hoemmen, Julien ...
ATAL
2008
Springer
14 years 11 months ago
Sequential decision making in repeated coalition formation under uncertainty
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
Georgios Chalkiadakis, Craig Boutilier
EUROPAR
2007
Springer
15 years 4 months ago
Locality Optimized Shared-Memory Implementations of Iterated Runge-Kutta Methods
Iterated Runge-Kutta (IRK) methods are a class of explicit solution methods for initial value problems of ordinary differential equations (ODEs) which possess a considerable poten...
Matthias Korch, Thomas Rauber