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» Approximated Clustering of Distributed High-Dimensional Data
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HPDC
2007
IEEE
14 years 3 days ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
EDBT
2008
ACM
122views Database» more  EDBT 2008»
14 years 5 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...
WCE
2007
13 years 7 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 6 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...
EUROGRAPHICS
2010
Eurographics
14 years 23 days ago
Interactive High-Quality Visualization of Higher-Order Finite Elements
Higher-order finite element methods have emerged as an important discretization scheme for simulation. They are increasingly used in contemporary numerical solvers, generating a ...
Markus Üffinger, Steffen Frey, Thomas Ertl