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» Modeling Uncertainty in Context-Aware Computing
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MLCW
2005
Springer
14 years 3 months ago
Evaluating Predictive Uncertainty Challenge
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
Joaquin Quiñonero Candela, Carl Edward Rasm...
SSD
2009
Springer
149views Database» more  SSD 2009»
14 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...
EVOW
2006
Springer
14 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
IJCV
2000
180views more  IJCV 2000»
13 years 9 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
MP
2006
101views more  MP 2006»
13 years 9 months ago
Computational complexity of stochastic programming problems
Stochastic programming is the subfield of mathematical programming that considers optimization in the presence of uncertainty. During the last four decades a vast amount of litera...
Martin E. Dyer, Leen Stougie