Results 11 to 20 of about 823,086 (268)
To Pool, or Not to Pool? [PDF]
IN this issue of Genetics, [Futschik and Schlotterer (2010)][1] present one of the first and the most systematic explorations of the relative merits of pooling vs. individual sequencing for several genetics applications.
David J, Cutler, Jeffrey D, Jensen
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Convolutional Neural Networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality reduction. The impact of pooling in the classification performance of the CNNs has been highlighted in several previous works, and a ...
Dimitrios E. Diamantis +1 more
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To Pool or Not to Pool: Revisited [PDF]
AbstractThis paper provides a new comparative analysis of pooled least squares and fixed effects (FE) estimators of the slope coefficients in the case of panel data models when the time dimension (T) is fixed while the cross section dimension (N) is allowed to increase without bounds.
M. Hashem Pesaran, Qiankun Zhou
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Learning and Pooling, Pooling and Learning [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stewart, Rush T., Quintana, Ignacio Ojea
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To Pool or Not to Pool in Call Centers [PDF]
Should service capacities (such as agent groups in call centers) be pooled or not? This paper will show that there is no single answer. For the simple but generic situation of two (strictly pooled or unpooled) server groups, it will provide (1) insights and approximate formulae, (2) numerical support, and (3) general conclusions for the waiting‐time ...
van Dijk, N.M., van der Sluis, E.
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The pulmonary circulation harbors a large intravascular reservoir of leukocytes refered to as the <i>Marginated Pool</i>. This marginated pool is balanced by propeling and retaining forces acting on leukocytes during their passage through the pulmonary circulation. The present paper discusses these factors and their underlying mechanisms.
Kuebler, Wolfgang M. +1 more
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Summary: We consider forecasting using a combination, when no model coincides with a non-constant data generation process (DGP). Practical experience suggests that combining forecasts adds value, and can even dominate the best individual device. We show why this can occur when forecasting models are differentially misspecified, and is likely to occur ...
David Hendry, Michael Clements
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This is the authors' preprint version of a paper published at BMVC 2019. Please cite it as follows: A. Deli\`ege, M. Istasse, A. Kumar, C. De Vleeschouwer and M.
Deliège, Adrien +4 more
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To pool or not to pool: That is the question in microbial kinetics
Variation observed in heat inactivation of Salmonella strains (data from Combase) was characterized using multilevel modeling with two case studies. One study concerned repetitions at one temperature, the other concerned isothermal experiments at various temperatures. Multilevel models characterize variation at various levels and handle dependencies in
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Dynamic Sampling is a novel, non-uniform, statistical sampling strategy in which documents are selected for relevance assessment based on the results of prior assessments. Unlike static and dynamic pooling methods that are commonly used to compile relevance assessments for the creation of information retrieval test collections, Dynamic Sampling yields ...
Gordon V. Cormack, Maura R. Grossman
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