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» Computing stable models: worst-case performance estimates
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SENSYS
2006
ACM
15 years 5 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...
EC
2006
195views ECommerce» more  EC 2006»
14 years 11 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
ASPLOS
2012
ACM
13 years 7 months ago
DejaVu: accelerating resource allocation in virtualized environments
Effective resource management of virtualized environments is a challenging task. State-of-the-art management systems either rely on analytical models or evaluate resource allocati...
Nedeljko Vasic, Dejan M. Novakovic, Svetozar Miuci...
VEE
2009
ACM
171views Virtualization» more  VEE 2009»
15 years 6 months ago
Dynamic memory balancing for virtual machines
Virtualization essentially enables multiple operating systems and applications to run on one physical computer by multiplexing hardware resources. A key motivation for applying vi...
Weiming Zhao, Zhenlin Wang
BMCBI
2010
176views more  BMCBI 2010»
14 years 11 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...