机译:基于最大熵准则的多标签主动学习的鲁棒和区分性标签
School of Computer, Wuhan University, Wuhan, China;
School of Computer, Wuhan University, Wuhan, China;
School of Computer, Wuhan University, Wuhan, China;
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China;
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Darlington, NSW, Australia;
Uncertainty; Measurement uncertainty; Training; Robustness; Loss measurement; Labeling; Algorithm design and analysis;
机译:通过最大熵准则对噪声标签数据进行基于图的鲁棒半监督学习
机译:一种用于主动噪声控制的鲁棒广义最大控制标准算法
机译:新的强大的公制学习模型,使用最大正轮堆标准
机译:基于最大熵准则的多标签主动学习:迈向鲁棒性和区分性标签
机译:基于深度学习的多标签分类用于腹腔镜视频中的手术工具存在检测
机译:基于扩散的非高斯噪声环境中的基于鲁棒频谱感测的基于鲁棒频谱感测
机译:基于最大正轮堆标准的多标签主动学习的鲁棒和辨别标记