Scalable computer interactive education system based on large-scale multimedia data analysis-Reference-Cited by-同舟云学术

Scalable computer interactive education system based on large-scale multimedia data analysis

Published:2022-06-17 Issue: Volume: Page:
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Zhao Jie,Liu Taotang,Li Shuping

Funder

Study on the Deep Integration of Information Technology and Elementary Education and Teaching

Study on The Talent Cultivation Model of Integration of Production, Teach-ing and Research in Local Colleges and Universities under the Background of New Engineer-ing

Exploration on the Ways to Improve the Informationization Teaching ability of Rural Primary School Teachers in Heilongjiang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10844-022-00719-3.pdf

Reference22 articles.

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4. Chegini, M., Bernard, J., Berger, P., Sourin, A., Andrews, K., & Schreck, T. (2019). Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning. Visual Informatics, 3(1), 9–17.

5. Cheng, L., Kovachki, N.B., Welborn, M., & Miller, T.F. III (2019). Regression clustering for improved accuracy and training costs with molecular-orbital-based machine learning. Journal of Chemical Theory and Computation, 15 (12), 6668–6677.

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