一种基于示例非独立同分布的多示例多标签分类算法 (Multi-instance Multi-label Learning Algorithm by Treating Instances as Non-independent Identically Distributed Samples).
Tongtong ChenXinmiao DingChanjuan LiuHailin ZouShusen ZhouYing LiuPublished in: 计算机科学 (2016)
Keyphrases
- multi instance
- identically distributed
- multi label
- random variables
- learning algorithm
- single instance
- multi instance learning
- learning tasks
- text categorization
- multi label classification
- training samples
- graph cuts
- image annotation
- binary classification
- multi label learning
- image classification
- text classification
- training examples
- class labels
- multiple labels
- training data
- data sets
- real valued
- learning problems
- probability distribution
- machine learning
- training set
- machine learning algorithms
- unlabeled data
- graphical models
- active learning
- semi supervised learning
- latent variables
- multi class
- reinforcement learning
- text mining
- feature selection
- supervised learning