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Multiclass student classification
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Lecture Introduction to Machine learning and Data mining: Lesson 4. This lesson provides students with content about: supervised learning; K-nearest neighbors; neighbor-based learnin; multiclass classification/categorization; distance/similarity measure;... Please refer to the detailed content of the lecture!
23p
hanlamcoman
26-11-2022
17
5
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In a simple but effective manner, convolutional neural networks (CNNs) are proposed to exploit their well-known advantages on images for temporal educational data. As a result, the task is resolved by our enhanced CNN models with more effectiveness and practicability on real datasets. Our CNN models outperform other traditional models and their various variants on a consistent basis for program-level student classi¯cation.
25p
redemption
20-12-2021
24
0
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