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
- representation module
- representation of a Banach algebra
- representation of a classical group
- representation of a compact group
- representation of a finite group
- representation of a function
- representation of a group
- representation of a groupoid
- representation of a Hecke algebra
- representation of a Jordan algebra
- representation of a knot group
- representation of a lattice
- representation of algebras
- representation of a Lie algebra
- representation of a Lie group
- representation of a Lorentz group
- representation of an algebra
- representation of an algorithm
- representation of an Artinian ring
- representation of an associative algebra
- representation of an infinite group
- representation of an operator
- representation of an order
- representation of a quiver
- representation of a ring