Comparison of Machine Learning Methods for Intelligent Tutoring Systems
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/11774303_52.pdf
Reference7 articles.
1. Domingos, P., Pazzani, M.: On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learning 29, 103–130 (1997)
2. Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian network classifiers. Machine Learning 29(2-3), 131–163 (1997)
3. Geiger, D., Heckerman, D.: Knowledge representation and inference in similarity networks and Bayesian multinets. Artificial Intelligence 82, 45–74 (1996)
4. Huber, P.J.: Robust estimation of a location parameter. Annals of mathematical statistics 35, 73–101 (1964)
5. Lecture Notes in Computer Science;S.B. Kotsiantis,2003
Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Exploring online authentic learning environment (OnALE) for inferential statistics: its efficacy and benefits to statistics learners;Educational technology research and development;2023-11-14
2. A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods;Emerging Research in Computing, Information, Communication and Applications;2022-12-13
3. A Recent Exploration on Student Performance Analysis using Educational Data Mining Methods;International Journal of Innovative Technology and Exploring Engineering;2022-08-30
4. The Architecture of System for Predicting Student Performance Based on Data Science Approaches (SPPS-DSA Architecture);International Journal of Information and Education Technology;2022
5. Student performance prediction in higher education: A comprehensive review;INTERNATIONAL CONFERENCE ON INFORMATICS, TECHNOLOGY, AND ENGINEERING 2021 (InCITE 2021): Leveraging Smart Engineering;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3