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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/
     
  3. People also ask
    How does pooling work?Watch my video instead: The pooling operation usually follows the convolution layer. Its task is to reduce the dimensionality of the result coming in from the convolutional layer by keeping what’s relevant and discarding the rest. The process is simple — you define an n x n region and stride size.
    What is pooling in finance?The term is used in finance, computing and equipment management. 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.
    What is a pooling operation?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. Maximum Pooling (or Max Pooling): Calculate the maximum value for each patch of the feature map.
    What are the different types of pooling?The most common type of pooling is Max Pooling, which means only the highest value of a region is kept. You’ll sometimes encounter Average Pooling, but not nearly as often. Max pooling is a good place to start because it keeps the most activated pixels (ones with the highest values) and discards the rest.
     
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  5. WEBJul 5, 2019 · 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). …

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  6. TensorFlow for Computer Vision — How to Implement Pooling …

  7. CNN | Introduction to Pooling Layer - GeeksforGeeks

  8. Everything about Pooling layers and different types of Pooling

  9. What Is Insurance Pooling? | LiveWell

  10. Pooling of Interests - Definition, How It Works, and Advantages

  11. On the utility of RNA sample pooling to optimize cost and …

  12. Pooling in convolutional neural networks for medical image

  13. POOLING | definition in the Cambridge English Dictionary

  14. Sample pooling: burden or solution? - ScienceDirect

  15. Evaluations of modes of pooling specimens for COVID-19

  16. Statistics in the Laboratory: Pooling | American Laboratory

  17. Risk Pooling: How Health Insurance in the Individual Market Works

  18. 7.4 - Sample Pooling | STAT 555 - Statistics Online

  19. The pros of pooling | The Association of Corporate Treasurers

  20. POOLING | English meaning - Cambridge Dictionary

  21. How pooling solutions can be strengthened in road transport

  22. [2405.07937] Active Learning with Simple Questions - arXiv.org

  23. How to Ship Entomologic Specimens | Mosquitoes | CDC

  24. Example of Resource Projected Utilization Calculation

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