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Sample extension method and device and readable storage medium

An extension method and sample technology, which can be used in instruments, character and pattern recognition, calculation models, etc., and can solve problems such as poor sample extension effect.

Pending Publication Date: 2020-10-30
WEBANK (CHINA)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a sample expansion method, device and readable storage medium, aiming to solve the technical problem of poor sample expansion effect in the prior art

Method used

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  • Sample extension method and device and readable storage medium
  • Sample extension method and device and readable storage medium
  • Sample extension method and device and readable storage medium

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Embodiment Construction

[0024] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0025] The embodiment of this application provides a sample extension method. In the first embodiment of the sample extension method of this application, refer to figure 1 , the sample extension method includes:

[0026] Step S10, acquiring samples to be expanded, and mapping the samples to be expanded to initial sample representations of the preset first feature dimension and converted sample representations of the preset second feature dimension based on the preset representation extraction model;

[0027] In this embodiment, it should be noted that the sample expansion method is applied to the first device, the initial sample is characterized as a feature vector in the preset first feature dimension, and the converted sample is characterized as a feature vector in the preset second The feature vector of the fe...

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Abstract

The invention discloses a sample extension method and device and a readable storage medium. The sample expansion method comprises the following steps: expanding a sample; obtaining samples to be extended, and on the basis of a preset representation extraction model, respectively mapping the to-be-extended sample into an initial sample representation of a preset first feature dimension and a conversion sample representation of a preset second feature dimension, and aggregating the initial sample representation and the conversion sample representation to obtain a target extension representationcorresponding to the to-be-extended sample. The technical problem that the sample extension effect is poor is solved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a sample expansion method, device and readable storage medium. Background technique [0002] With the continuous development of financial technology, especially Internet technology and finance, more and more technologies (such as distributed, blockchain, artificial intelligence, etc.) Requirements, such as the distribution of corresponding to-do items in the financial industry also have higher requirements. [0003] With the continuous development of computer software and artificial intelligence, neural network models are more and more widely used. However, neural network models with superior performance are usually constructed based on training samples with high feature richness, and due to the limitation of local data volume, It is usually difficult for model builders to obtain training samples with high feature richness locally, which leads to poor performance...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06K9/62
CPCG06N20/00G06F18/241G06F18/214
Inventor 康焱
Owner WEBANK (CHINA)