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
- Boltysh crater
- Boltzmam system
- Boltzmann
- Boltzmann brain paradox
- Boltzmann constant
- Boltzmann crater
- Boltzmann distribution
- Boltzmann distribution law
- Boltzmann-Einstein equations
- Boltzmann-Einstein system of equations
- Boltzmann entropy
- Boltzmann entropy formula
- Boltzmann equation
- Boltzmann equation at steady state
- Boltzmann equation of state
- Boltzmann ergodic hypothesis
- Boltzmann excitation formula
- Boltzmann factor
- Boltzmann formula
- Boltzmann-Grad limit
- Boltzmann H function
- Boltzmann H-function
- Boltzmann H theorem
- Boltzmann H-theorem
- Boltzmann integro-differential