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» Computation with imprecise probabilities
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ISCI
2010
118views more  ISCI 2010»
13 years 6 months ago
Approximations of upper and lower probabilities by measurable selections
A random set can be regarded as the result of the imprecise observation of a random variable. Following this interpretation, we study to which extent the upper and lower probabili...
Enrique Miranda, Inés Couso, Pedro Gil
VLDB
2005
ACM
124views Database» more  VLDB 2005»
14 years 1 months ago
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions
In an “uncertain database”, an object o is associated with a multi-dimensional probability density function (pdf), which describes the likelihood that o appears at each positi...
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay N...
ISIPTA
2003
IEEE
127views Mathematics» more  ISIPTA 2003»
14 years 24 days ago
Climate Projections for the 21st Century Using Random Sets
We apply random set theory to an analysis of future climate change. Bounds on cumulative probability are used to quantify uncertainties in natural and socio-economic factors that ...
Elmar Kriegler, Hermann Held
DEXA
2003
Springer
149views Database» more  DEXA 2003»
14 years 23 days ago
Capturing Uncertainty in Spatial Queries over Imprecise Data
Emerging applications using miniature electronic devices (e.g., tracking mobile objects using sensors) generate very large amounts of highly dynamic data that poses very high overh...
Xingbo Yu, Sharad Mehrotra
CMPB
2010
97views more  CMPB 2010»
13 years 6 months ago
A ligand predication tool based on modeling and reasoning with imprecise probabilistic knowledge
Ligand prediction has been driven by a fundamental desire to understand more about how biomolecules recognize their ligands and by the commercial imperative to develop new drugs. ...
Weiru Liu, Anbu Yue, David J. Timson