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Correcting AI's Role in Thermoelectric Materials Hunt

Correcting AI's Role in Thermoelectric Materials Hunt
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

Hao Li , Xue Jia , Yusuke Hashimoto , Alex Aziz , Tohoku University Advanced Institute For Materials Research , Science China Materials , Tohoku University , Advanced Institute , Materials Research , Materials Project , Gradient Boosting Decision Tree , Assistant Professor , Corresponding Author , Science China ,

Rectifying AI's usage in the quest for thermoelectric materials

Rectifying AI's usage in the quest for thermoelectric materials
phys.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from phys.org Daily Mail and Mail on Sunday newspapers.

Xue Jia , Hao Li , Tohoku University Advanced Institute For Materials Research , Materials Project , Science China Materials , Tohoku University , Advanced Institute , Materials Research , Gradient Boosting Decision Tree , Assistant Professor ,

Rectifying AI's usage in the quest for thermoelectric materials

Rectifying AI's usage in the quest for thermoelectric materials
sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.

Hao Li , Xue Jia , Tohoku University Advanced Institute For Materials Research , Science China Materials , Tohoku University , Advanced Institute , Materials Research , Gradient Boosting Decision Tree , Materials Project , Assistant Professor ,

"Educational Process Mining for Discovering Students' Problem-Solving A" by Fang Liu, Liang Zhao et al.

Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in students' learning processes according to this information in the late course. However, educators often expect to improve the learning outcome in a proactive manner through dynamically designing instructional strategies prior to a course that are more appropriate to students' average ability. Therefore, in this article, we propose a two-stage problem-solving ability modeling approach to obtain students' ability in different learning stages, including the pre-problem-solving ability model and the post-problem-solving ability model. The models are trained with Gradient Boosting Decision Tree (GBDT) on the historical event logs of ....

Gradient Boosting Decision Tree , Educational Process Mining Epm , Radient Boosting Decision Tree Gbdt , Roblem Solving Ability Model , Tudent Ability Profile , Wo Stage Modeling ,