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Model updating method and device

A model update and updated technology, applied in the field of artificial intelligence, can solve the problems of low reliability and low update flexibility of machine learning models, and achieve the effects of improving user experience, improving flexibility, and improving prediction accuracy

Pending Publication Date: 2022-05-06
HUAWEI TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the update of the machine learning model is triggered by human experience or periodically updated, and the update flexibility is low, resulting in low reliability of the updated machine learning model

Method used

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  • Model updating method and device
  • Model updating method and device

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Embodiment Construction

[0052] In order to make the principles and technical solutions of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0053] As an important branch of the AI ​​field, machine learning algorithms have been widely used in many fields. From the perspective of learning methods, machine learning algorithms can be divided into supervised learning algorithms, unsupervised learning algorithms, semi-supervised learning algorithms, and reinforcement learning algorithms. A supervised learning algorithm (also known as a supervised learning algorithm) means that an algorithm can be learned or a model can be established based on training data, and new instances can be inferred from this algorithm or model. Training data, also called training samples, is composed of input data and expected output. The model of a machine learning algorithm, also called a machine learn...

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Abstract

The invention discloses a model updating method and device, and belongs to the field of AI. The method comprises the following steps: obtaining exception explanatory information, the exception explanatory information being explanatory information for explaining content exception, and the explanatory information being information for explaining an output result of a machine learning model; adjusting a training sample set of the machine learning model based on the abnormal interpretive information; and obtaining an updated machine learning model, wherein the machine learning model is obtained by training based on the adjusted training sample set. The reliability of the updated machine learning model can be improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence (AI), in particular to a method and device for updating a model. Background technique [0002] Machine learning refers to allowing machines to train machine learning models based on training samples, so that machine learning models have predictive capabilities (such as category predictive capabilities) for data other than training samples. As an important branch of the AI ​​field, machine learning has been widely used in many fields. [0003] As the environment or rules change, the original machine learning model needs to be updated over time. At present, the update of the machine learning model is triggered by human experience or periodically updated, and the update flexibility is low, resulting in low reliability of the updated machine learning model. Contents of the invention [0004] Embodiments of the present application provide a model updating method and device. The tec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06K9/62
CPCG06N20/00G06F18/23213G06F18/24323G06F18/214
Inventor 段戎黄文文
Owner HUAWEI TECH CO LTD
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