The comparison results between the LSTKT models with two different architectures.

The comparison results between the LSTKT models with two different architectures.

<p>The comparison results between the LSTKT models with two different architectures.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Ailian Gao (20629841) (author)
مؤلفون آخرون:	Zenglei Liu (20629838) (author)
منشور في:	2025
الموضوعات:	Cancer Science Policy Biological Sciences not elsewhere classified students &# 8217 integrate temporal information conducted comparison experiments bidirectional lstm model series forecasting pipeline machine learning algorithms proposed lstkt model proposed informer model publicly available dataset individual knowledge states informer </ p achieved promising outcomes short sequence prediction probability sparse self implement knowledge tracing long sequence time sparse self series prediction knowledge tracing sequence time tracing studies time stamps time stamp ednet dataset assistments2017 dataset assistments2009 dataset current knowledge target exercises previous approaches learning performance extensively utilized existing models exercising recordings decoder architecture canonical encoder attention module attention mechanism answering records 82 %. 81 %.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الوصف
الملخص:	<p>The comparison results between the LSTKT models with two different architectures.</p>

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