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» Modeling Uncertainty in Context-Aware Computing
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MP
2006
107views more  MP 2006»
13 years 6 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
CE
2007
116views more  CE 2007»
13 years 6 months ago
The design of instructional multimedia in e-Learning: A Media Richness Theory-based approach
The rapid development of computer and Internet technologies has made e-Learning become an important learning method. There has been a considerable increase in the needs for multim...
Pei-Chen Sun, Hsing Kenny Cheng
ICST
2009
IEEE
13 years 4 months ago
Timed Testing under Partial Observability
This paper studies the problem of model-based testing of real-time systems that are only partially observable. We model the System Under Test (SUT) using Timed Game Automata (TGA)...
Alexandre David, Kim Guldstrand Larsen, Shuhao Li,...
AMAI
2010
Springer
13 years 4 months ago
Interval-valued soft constraint problems
Constraints and quantitative preferences, or costs, are very useful for modelling many real-life problems. However, in many settings, it is difficult to specify precise preference ...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 1 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...