In this paper, we propose a novel Continuous Time based Neural Cognitive Modeling(CT-NCM) approach to integrate the dynamism and continuity of knowledge ...
To this end, in this paper, we propose a novel Continuous Time based Neural Cognitive Modeling (CT-NCM) ap- proach to integrate the dynamism and continuity of.
To this end, in this paper, we propose a novel Continuous Time based Neural Cognitive Modeling(CT-NCM) approach to integrate the dynamism and continuity of ...
To this end, in this paper, we propose a novel Continuous Time based Neural Cognitive Modeling (CT-NCM) ap- proach to integrate the dynamism and continuity of.
Readers: Everyone. Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach · Haiping Ma, Jingyuan Wang ...
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Apr 25, 2024 · (2) Based on deep learning methods, Deep Knowledge Tracing (DKT) introduces recurrent neural networks such as RNN and LSTM for the first time.
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach · Haiping MaJingyuan Wang +4 authors. Lei Zhang.
IJCAI 2022. Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. ✔️. LPKT-S. TKDE 2022. Monitoring ...
As an emerging technology of computer-aided education, cognitive modeling aims at discovering the knowledge proficiency or learning ability of students, which ...
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia ...