基本信息
浏览量:199
职业迁徙
个人简介
His research interests include machine learning, combinatorial optimization, intelligent agents, and coordination in multi-agent systems.
John has developed novel data mining algorithms to identify differential patterns among multiple contexts within and across sequential data series (e.g., autonomously-identified phases of task performance within learning activity traces). He has also developed techniques to model the evolution of patterns over the course of long data series and refine the representation of patterns to appropriate levels of specificity in multi-dimensional, hierarchical sequential data. Further, he has applied these approaches to improve the design of pedagogical agents and their coordination mechanisms for dynamic personalization and adaptation to the user.
John has developed novel data mining algorithms to identify differential patterns among multiple contexts within and across sequential data series (e.g., autonomously-identified phases of task performance within learning activity traces). He has also developed techniques to model the evolution of patterns over the course of long data series and refine the representation of patterns to appropriate levels of specificity in multi-dimensional, hierarchical sequential data. Further, he has applied these approaches to improve the design of pedagogical agents and their coordination mechanisms for dynamic personalization and adaptation to the user.
研究兴趣
论文共 73 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Springer Reference TechnikHandbuch Industrie 4.0pp.1-19, (2020)
Handbuch Industrie 4.0pp.471-490, (2017)
AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligenceno. 1 (2016): 3705-3711
引用31浏览0EI引用
31
0
Douglas B. Clark,Satyugjit Virk,Pratim Sengupta,Corey Brady,Mario Martinez-Garza,Kara Krinks,Stephen S. Killingsworth,John S. Kinnebrew,Gautam Biswas, Jacqueline Barnes, James Minstrell,Brian C. Nelson,
International Journal of Designs for Learningno. 1 (2016)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn