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Cornuet et al. [20] improve this in their adaptive multiple importance sampling algorithm and present optimal exploitation of previous samples, which automatically stabilizes the process.
Multiple importance evaluation indices have been developed for natural language processing and text mining to measure the importance of words and phrases for extracting features.
Our results were motivated by an inequality, involving harmonic means, found in the study of multiple importance sampling Monte Carlo technique.
We revisit the multiple importance sampling (MIS) estimator and investigate the bound on the efficiency improvement over balance heuristic estimator with equal count of samples established in Veach's thesis.
In the research in the multiple importance sample Monte Carlo integration problem [1 3], we were confronted with several inequalities relating harmonic means, which were either described in the literature [4 7] or easy to prove from it.
Motivated by proving an inequality that appeared in our research in Monte Carlo multiple importance sampling (MIS), we identified first a sufficient condition for a generalized weighted means inequality where only the weights are changed.
Similar(50)
And while leadership is of core importance, multiple other factors also may influence how individuals make sense of experiences.
Because of the functional importance, multiple algorithms have been available for identifying CGIs in a genome or a sequence.
While perioperative blood transfusion (BT) has been associated with adverse outcomes in multiple malignancies, the importance of BT timing has not been established.
The first is that the number of particles generated by the algorithm grows subexponentially if and only if a certain scalar multiple of the importance function is a subsolution.
Considering the potential disadvantage of multiple biopsies, the importance of endoscopic diagnosis rather than multiple biopsies for superficial lesions should be emphasized.
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