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Data sample generation method and device, computer equipment and storage medium

A data sample and data technology, applied in the field of machine learning, can solve problems such as inapplicable data samples, and achieve the effect of improving the effect of model training

Active Publication Date: 2019-08-23
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]Since upsampling just repeats rare class samples, and downsampling method is easy to remove important sample information, therefore, sample enhancement schemes in related technologies are usually applicable to existing It is not suitable for the case of a large number of data samples, but it is not suitable for the case of a small number of data samples

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  • Data sample generation method and device, computer equipment and storage medium
  • Data sample generation method and device, computer equipment and storage medium
  • Data sample generation method and device, computer equipment and storage medium

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Embodiment Construction

[0059] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0060] The embodiment of the present application proposes an efficient and high-accuracy scheme for generating data samples for training the recognition model. This scheme can quickly generate a lot of available data samples through the collected data master, thereby shortening the time for training the recognition model. pre-training efficiency. For ease of understanding, several terms...

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Abstract

The invention relates to a data sample generation method and device, computer equipment and a storage medium. The method comprises the steps that a target data female parent of a terminal is acquired,each data unit in the target data female parent corresponds to one of n input stages of an input process, and each data unit comprises sensor data collected by the terminal in the corresponding inputstage; k to-be-replaced data units in the n data units are replaced with k replacement data units obtained from the replacement data pool, data samples are obtained, and each replacement data unit comprises sensor data collected by other terminals in one input stage. According to the scheme, the characteristics of the sensor data collected in the input process are combined, a scheme suitable fortaking the sensor data as the data sample and carrying out effective sample enhancement on a small number of data samples in the early stage of model cold start is provided, and then the model training effect in the early stage of model cold start is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of machine learning, and in particular to a data sample generation method, device, computer equipment, and storage medium. Background technique [0002] Sample enhancement is a method in machine learning to obtain new data samples based on existing data samples, thereby improving the training effect of the machine learning model. [0003] In related technologies, sample enhancement can usually obtain new data samples by resampling existing data samples. Among them, resampling can be divided into upsampling and downsampling. Among them, upsampling refers to reducing the imbalance degree of data samples by increasing the number of training samples of rare classes; downsampling refers to the sampling of existing data samples. A sequence of values ​​is sampled every few samples to obtain a new data sample. [0004] Since upsampling just repeats rare samples, and downsampling method ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N20/00
CPCG06F18/214
Inventor 张晨斌宾志豪庄灿杰曹誉仁黄泽丰倪晓臻徐森圣胡嘉琪陈奋黄伟旭
Owner TENCENT TECH (SHENZHEN) CO LTD