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» Model-Driven Constraint Engineering
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DA
2010
141views more  DA 2010»
14 years 9 months ago
Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market
In competitive wholesale electricity markets, regulated load serving entities (LSEs) and marketers with default service contracts have obligations to serve fluctuating load at pre...
Yumi Oum, Shmuel S. Oren
BMCBI
2006
111views more  BMCBI 2006»
14 years 9 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
JKM
2006
135views more  JKM 2006»
14 years 9 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde
111
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SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
14 years 9 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis
TON
2008
103views more  TON 2008»
14 years 9 months ago
On the race of worms, alerts, and patches
We study the effectiveness of automatic patching and quantify the speed of patch or alert dissemination required for worm containment. We focus on random scanning as this is repres...
Milan Vojnovic, Ayalvadi J. Ganesh