CLASSIFICATION MODEL TRAINING METHOD, APPARATUS AND DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM

WIPO Patent Application WO/2021/042556

A1

The present application relates to the technical field of artificial intelligence. Disclosed are a classification model training method, apparatus and device, and a computer-readable storage medium. The classification model training method comprises: acquiring sample data; obtaining, on the basis of a feature extraction algorithm, features corresponding to the sample data, wherein the features of the sample data comprise discrete features and continuous features; converting the discrete features into continuous features; inputting the continuous features into an autoencoder to obtain implicit features; constructing an initial classification model on the basis of labeled sample data and the implicit features, and performing label prediction on unlabeled sample data on the basis of the initial classification model and a preset expectation step algorithm; optimizing the initial classification model according to a prediction result combined with a preset maximization step algorithm; and when it is detected that the preset expectation step algorithm starts to converge, confirming that the training of the initial classification model is completed, and saving the trained initial classification model. By means of the present application, the generalization capability of a classification model is improved.

JIN GE (CN)
XU LIANG (CN)

PCT/CN2019/118247

March 11, 2021

November 14, 2019

Click for automatic bibliography generation  

PING AN TECH SHENZHEN CO LTD (CN)

G06F16/35

CN109492093A	2019-03-19
CN105930934A	2016-09-07
CN110163261A	2019-08-23
CN107808246A	2018-03-16
CN109902662A	2019-06-18
CN110166454A	2019-08-23
US8086549B2	2011-12-27
US10354205B1	2019-07-16

BEIJING JINGDA LAW FIRM (CN)

View/Download PDF      PDF Help

Previous Patent: SPRAYING DEVICE FOR WELDING TAB

Next Patent: TRACTION-AUXILIARY CONVERTER AND CONVERTER CABINET FOR INTERNAL COMBUSTION LOCOMOTIVE