MAS learning is a domain intercrossed between MAS and machine learning. 多智能体学习是多智能体系统和机器学习等研究领域的交叉。
The machine learning accuracy can be improved by making use of both labeled and unlabeled data in semi-supervised learning. 摘要同时利用半监督学习中的标记数据与非标记数据，可以提高机器学习的能力。
