Classifier generation method, device, equipment and storage medium

A classifier and data classification technology, applied in the field of artificial intelligence, can solve the problems of increasing computational complexity and inability to transfer learning, and achieve the effects of reducing computational complexity, increasing data scale, and improving performance

Pending Publication Date: 2020-02-11
TENCENT TECH (SHENZHEN) CO LTD
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the large-scale calculation data in migration learning greatly increases the computational complexity during the data m

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Classifier generation method, device, equipment and storage medium
  • Classifier generation method, device, equipment and storage medium
  • Classifier generation method, device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings, and the described embodiments should not be considered as limiting the present invention, and those of ordinary skill in the art do not make any All other embodiments obtained under the premise of creative labor belong to the protection scope of the present invention.

[0071] In the following description, the terms "first\second" are only used to distinguish similar objects, and do not represent a specific order for objects. Understandably, "first\second" can be The particular order or sequence is interchanged such that the embodiments of the invention described herein can be practiced in other sequences than illustrated or described herein.

[0072] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a classifier generation method and a device, electronic equipment and a storage medium. The method comprises the steps of constructing a maximum mean value difference between asource domain and a target domain based on a sample of the source domain and a sample of the target domain; separating the maximum mean value difference between the source domain and the target domainto obtain a separated mean value difference; decomposing the optimization target according to the separated mean value difference to obtain a transformation matrix for the source domain; predicting the sample of the target domain based on the sample of the source domain, the label corresponding to the sample, the sample of the target domain and the transformation matrix for the source domain to obtain the label corresponding to the sample of the target domain; and generating a classifier corresponding to the target domain based on the samples of the source domain and the labels correspondingto the samples of the target domain. According to the method and the device, the maximum mean value difference related to large-scale calculation amount in transfer learning can be separated, so thatthe calculation complexity of transfer learning is reduced.

Description

technical field [0001] The invention relates to artificial intelligence technology, in particular to a method for generating a classifier, a method for classifying data to be classified, a device, electronic equipment and a storage medium. Background technique [0002] Artificial Intelligence (AI) is a comprehensive technology of computer science. By studying the design principles and implementation methods of various intelligent machines, the machines have the functions of perception, reasoning and decision-making. Artificial intelligence technology is a comprehensive subject that involves a wide range of fields, such as natural language processing technology and machine learning / deep learning. With the development of technology, artificial intelligence technology will be applied in more fields and play an increasingly important role. increasingly important value. [0003] Transfer learning is one of the important applications in the field of artificial intelligence. It is...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62G06F17/16
CPCG06F17/16G06F18/2415
Inventor 刘紫薇宋辉吕培立董井然陈守志
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap