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» A branch and bound method for stochastic global optimization
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EMSOFT
2007
Springer
15 years 3 months ago
Methods for multi-dimensional robustness optimization in complex embedded systems
Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
Arne Hamann, Razvan Racu, Rolf Ernst
FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
15 years 1 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
CP
2008
Springer
14 years 11 months ago
Exploiting Decomposition in Constraint Optimization Problems
Decomposition is a powerful technique for reducing the size of a backtracking search tree. However, when solving constraint optimization problems (COP's) the standard techniqu...
Matthew Kitching, Fahiem Bacchus
HM
2007
Springer
120views Optimization» more  HM 2007»
15 years 3 months ago
On the Combination of Constraint Programming and Stochastic Search: The Sudoku Case
Sudoku is a notorious logic-based puzzle that is popular with puzzle enthusiasts the world over. From a computational perspective, Sudoku is also a problem that belongs to the set ...
Rhydian Lewis
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 7 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...