Generalization, Discrimination, and Extinction
Associative Learning
Observational Learning
Improving Translational Accuracy
Cognitive Learning
Purposive Learning
您也可能阅读
通过共同作者、期刊和引用图与本文相关的文章。
Aaqib Saeed1, Dimitris Spathis2, Jungwoo Oh3
1Eindhoven University of Technology, Eindhoven, The Netherlands. a.saeed@tue.nl.
通过解决噪音标签,Few-Shot人类在循环中改进 (FHLR) 改进了可穿戴健康数据分析. 这种新的方法提高了模型的稳定性和通用性,在健康传感应用中取得了最先进的结果.
08:05Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
08:25Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
Published on: May 7, 2019
科学领域:
背景情况:
研究的目的:
主要方法:
主要成果:
结论: