Method and device for realizing automatic semi-supervised machine learning

A machine learning, semi-supervised technology, applied in the field of machine learning, which can solve problems such as labor consumption

Pending Publication Date: 2020-05-19
THE FOURTH PARADIGM BEIJING TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present invention proposes a method and device for realizing automatic semi-supervised machine learning, the main purpose of which is to realize the function of automatic semi-supervised machine learning, thereby solving the problem of manpower consumption in the existing semi-supervised machine learning process

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  • Method and device for realizing automatic semi-supervised machine learning
  • Method and device for realizing automatic semi-supervised machine learning
  • Method and device for realizing automatic semi-supervised machine learning

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Embodiment Construction

[0095] With the emergence of massive data, artificial intelligence technology has developed rapidly. In order to mine value from large amounts of data, relevant personnel are required not only to be proficient in artificial intelligence technology (especially machine learning technology), but also to be very familiar with the application of machine learning. The specific scenario of the technology (for example, image processing, voice processing, automatic control, financial services, Internet advertising, etc.). For example, if the relevant personnel do not have enough understanding of the business or lack of modeling experience, it is easy to lead to poor modeling results. At present, this phenomenon can be alleviated from two aspects. One is to lower the threshold of machine learning, so that machine learning algorithms are easy to use; the other is to improve the accuracy of the model, so that the algorithm has high versatility and can produce better results. It should be ...

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Abstract

The invention discloses a method and a device for realizing automatic semi-supervised machine learning, relates to the technical field of machine learning, and mainly aims to solve the problem of manpower consumption in the existing semi-supervised machine learning process. According to the main technical scheme, the method comprises the steps of obtaining a target data set; selecting an empiricaldata set similar to the target data set, and determining a semi-supervised machine learning algorithm used on the empirical data set as a semi-supervised machine learning algorithm of the target dataset; performing model training and prediction on the target data set according to a semi-supervised machine learning algorithm and the corresponding multiple groups of hyper-parameters to obtain a model and a prediction result corresponding to each group of hyper-parameters, and selecting a group of hyper-parameters suitable for the target data set from the multiple groups of hyper-parameters according to the prediction result corresponding to each group of hyper-parameters; and determining the model corresponding to the set of hyper-parameters suitable for the target data set as a semi-supervised machine learning model of the target data set. The method and device are used for semi-supervised machine learning of the target data set.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a method and device for realizing automatic semi-supervised machine learning. Background technique [0002] With the continuous advancement of technology, artificial intelligence technology is also gradually developing. Among them, machine learning is an inevitable product of the development of artificial intelligence research to a certain stage. It is committed to improving the performance of the system itself by means of computing and using experience. In computer systems, "experience" usually exists in the form of "data". Through machine learning algorithms, "models" can be generated from data. Model, when faced with a new situation, the model will provide the corresponding judgment, that is, predict the result. Whether training a machine learning model or making predictions using a trained machine learning model, the data needs to be converted into machine learning...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
Inventor 王海李宇峰涂威威魏通
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD
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