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Reducing Overfitting Risk in Small-Sample Learning with ANN: A Case of Predicting Graduate Admission Probability.
Mengjie Han
Daomeng Cai
Zhilin Huo
Zhao Shen
Lianghu Tang
Shan Yang
Cong Wang
Published in:
IAIC (1) (2023)
Keyphrases
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small sample
artificial neural networks
learning algorithm
supervised learning
unsupervised learning
learning process
genetic algorithm
feature space
active learning
cross validation
learning tasks
incremental learning