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» Computing the median with uncertainty
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SSD
2009
Springer
149views Database» more  SSD 2009»
15 years 4 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
EOR
2010
93views more  EOR 2010»
14 years 10 months ago
Two-stage flexible-choice problems under uncertainty
A significant input-data uncertainty is often present in practical situations. One approach to coping with this uncertainty is to describe the uncertainty with scenarios. A scenar...
Jurij Mihelic, Amine Mahjoub, Christophe Rapine, B...
CSDA
2006
72views more  CSDA 2006»
14 years 9 months ago
Generalized theory of uncertainty (GTU) - principal concepts and ideas
Uncertainty is an attribute of information. The path-breaking work of Shannon has led to a universal acceptance of the thesis that information is statistical in nature. Concomitan...
Lotfi A. Zadeh
EVOW
2006
Springer
15 years 1 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
RSS
2007
136views Robotics» more  RSS 2007»
14 years 11 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...