Uncertainty propagation of arbitrary probability density functions applied to upscaling of transmissivities
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چکیده
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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 position in the data space. A fundamental operation is the “probabilistic range search” which, given a value pq and a rectangular area rq , retrieves the objects that appear in rq with probabilities at least pq. In this paper, w...
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چکیده ندارد.
15 صفحه اولUnsupervised Riemannian Clustering of Probability Density Functions
We present an algorithm for grouping families of probability density functions (pdfs). We exploit the fact that under the square-root re-parametrization, the space of pdfs forms a Riemannian manifold, namely the unit Hilbert sphere. An immediate consequence of this re-parametrization is that different families of pdfs form different submanifolds of the unit Hilbert sphere. Therefore, the proble...
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ژورنال
عنوان ژورنال: Stochastic Environmental Research and Risk Assessment
سال: 2015
ISSN: 1436-3240,1436-3259
DOI: 10.1007/s00477-015-1075-8