Sampling in order

In statistics, some Monte Carlo methods require independent observations in a sample to be drawn from a one-dimensional distribution in sorted order… (More)
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2011
2011
Two recently proposed learning algorithms, herding and fast persistent contrastive divergence (FPCD), share the following… (More)
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2010
2010
We propose decoupled sampling, an approach that decouples shading from visibility sampling in order to enable motion blur and… (More)
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2005
2005
This paper presents the sequential-quadratic programming technique combined with the method of importance sampling in order to… (More)
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2005
2005
Previous work on Empirical Mode Decomposition in two dimensions typically generates a residue with many extrema points. In this… (More)
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2004
2004
Data reduction can improve the storage, transfer time, and processing requirements of very large data sets. One of the challenges… (More)
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2003
2003
A groundwater management model has been developed that predicts human health risks and uses a noisy genetic algorithm to identify… (More)
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2002
2002
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data… (More)
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Highly Cited
1999
Highly Cited
1999
A new approach to software reliability estimation is presented that combines operational testing with stratified sampling in… (More)
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Highly Cited
1998
Highly Cited
1998
In this paper, we study P(Q > x), the tail of the steady-state queue length distribution at a high-speed multiplexer. In… (More)
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1989
1989
There are potential industrial applications for any methodology which inherently reduces processing time and cost and yet… (More)
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