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Importance sampling

Known as: IS 
In statistics, importance sampling is a general technique for estimating properties of a particular distribution, while only having samples generated… 
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Papers overview

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2017
2017
Performing manipulation with robotic arms requires a method for planning trajectories that takes multiple factors into account… 
2017
2017
We present an approach to non-factoid answer selection with a separate component based on BiLSTM to determine the importance of… 
2010
2010
We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence… 
2009
2009
Probabilistic techniques in engineering problems are needed because they provide a deeper understanding of failure mechanisms and… 
2009
2009
We adopt an unsupervised concept-based global optimization framework for extractive meeting summarization, where a subset of… 
2003
2003
The success of prediction models for business purposes should not be measured by their accuracy only. Their evaluation should… 
1995
1995
En theorie, il est souhaitable d'avoir un rendement uniforme de l'encre sur les surfaces imprimees du papier. En pratique… 
1993
1993
Bayesian statistical analysis has become an important tool in modern fisheries sciences. We assert that this success is due to… 
1978
1978
ARMENTROUT, V. N., L. B. GRAVES, JR., and D. P. MAXWELL. 1978. Localization of enzymes of oxalate biosynthesis in microbodies of…