期刊论文

Liu, Han(LiuH48@cardiff.ac.uk)

英文

Granular Computing

2364-4966

2020

5

3

411-418

10.1007/s41066-019-00158-6

This work was supported by National Natural Science Foundation of China (61503128), Science and Technology Plan Project of Hunan Province (2016TP102), Scientific Research Fund of Hunan Provincial Education Department (16C0226), Hengyang guided science and technology projects and Application-oriented Special Disciplines (Hengkefa [2018]60-31), Double First-Class University Project of Hunan Province(Xiangjiaotong [2018]469), Hunan Province Special Funds of Central Government for Guiding Local Science and Technology Development (2018CT5001) and Subject Group Construction Project of Hengyang Normal University(18XKQ02). The authors would also like to acknowledge support from the School of Computer Science and Informatics at the Cardiff University.

本校为第一机构

Handwritten digits recognition has been treated as a multi-class classification problem in the machine learning context, where each of the ten digits (0–9) is viewed as a class and the machine learning task is essentially to train a classifier that can effectively discriminate the ten classes. In practice, it is very usual that the performance of a single classifier trained using a standard learning algorithm is varied on different datasets, which indicates that the same learning algorithm may train strong classifiers on some datasets but weak...