MAS learning is a domain intercrossed between MAS and machine learning. 多智能體學習是多智能體系統和機器學習等研究領域的交叉。
The machine learning accuracy can be improved by making use of both labeled and unlabeled data in semi-supervised learning. 摘要同時利用半監督學習中的標記數據與非標記數據，可以提高機器學習的能力。
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