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  2. Pooling is the grouping together of assets, and related strategies for minimizing risk. For example: Asset-backed securities (ABS) is a security whose income payments are backed by a specified pool of underlying assets. Mortgage-backed securities (MBS) is a type of Asset-backed security whereas the underlying assets are mortgages.
    en.wikipedia.org/wiki/Pooling_(resource_managem…
    We say that samples are pooled when units that might be measured separately are processed together in such a way that the separate measurements can no longer be determined. For example, a tissue sample might be considered a pool of single cells.
    online.stat.psu.edu/stat555/node/75/

    For example, a pooling layer applied to a feature map of 6×6 (36 pixels) will result in an output pooled feature map of 3×3 (9 pixels). The pooling operation is specified, rather than learned. Two common functions used in the pooling operation are: Average Pooling: Calculate the average value for each patch on the feature map.

    machinelearningmastery.com/pooling-layers-for-co…
    Let us look at this cash pooling example to understand the concept better. Suppose Amacon Group comprises one parent (Company X) company and four subsidiaries (Company D, E, F, and G). All of these companies’ bank balances change owing to business activities.
    www.wallstreetmojo.com/cash-pooling/
     
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  5. WEBA health insurance risk pool is a group of individuals whose medical costs are combined to calculate premiums. Pooling risks together allows the higher costs of the less healthy to be offset by the relatively lower costs …

  6. WEBJul 5, 2019 · Two common pooling methods are average pooling and max pooling that summarize the average presence of a feature and the most activated presence of a feature respectively. In this tutorial, you will …

  7. WEBMay 25, 2020 · Understanding Convolutions and Pooling in Neural Networks: a simple explanation. A visual explanation on the concepts that make convolutional neural networks work and the intuition behind them. …

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