理学 弱监督学习 释 multi-label learning 多标记学习 用表示样本的维特征空间,为包含个类别的标记空间，用来训练分类器的数据集可表示为，式中为第个样本的特征向量，为与对应的一组类别标记，多标记学习的目的是学习一个从特征空间到标记空间的多标记分类器函数。
人工智能 机器学习 释文 multi-label learning 多标记学习
- locally realized covering relation
- locally rectifiable curve
- locally resonant mechanism
- locally ringed space
- locally separable space
- locally simply connected
- locally small category
- locally smooth space
- locally soluble group
- locally soluble subgroup
- locally solvable algebra
- locally solvable group
- locally starring set
- locally subbounded lattice
- locally subnormal element
- locally supersoluble group
- locally symmetric space
- locally testable code
- locally trivial bundle
- locally trivial embedding
- locally trivial fibration
- locally trivial sheaf
- locally trivial space
- locally unbiased estimator
- locally unbiased test