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
- pharmaceutical insoluble particle test
- pharmaceutical intellectual property rights protection
- pharmaceutical lipid materials
- pharmaceutical lubricants
- pharmaceutical manufacturing process control
- pharmaceutical market
- pharmaceutical moistening agents
- pharmaceutical molecular toxicology test
- pharmaceutical off-line analysis
- pharmaceutical on-line analysis
- pharmaceutical on site analysis
- pharmaceutical opacifiers
- pharmaceutical optical microscopy analysis
- pharmaceutical osmotic pressure regulators
- pharmaceutical pH adjusting agents
- pharmaceutical premixed excipients
- pharmaceutical preparations safety testing
- pharmaceutical preservatives
- pharmaceutical pressure sensitive adhesives
- pharmaceutical price regulation
- pharmaceutical process
- pharmaceutical production management
- pharmaceutical purity analysis
- pharmaceutical Research of peptide drug
- pharmaceutical residual host cell DNA test