基于信息增益的多标签特征选择算法 (Multi-label Feature Selection Algorithm Based on Information Gain).
Ling LiHuawen LiuXiaodan XuJianmin ZhaoPublished in: 计算机科学 (2015)
Keyphrases
- learning process
- information gain
- multi label
- feature selection algorithms
- feature selection
- text categorization
- text classification
- feature subset
- naive bayes
- multi instance
- mutual information
- random forest
- classification accuracy
- multi class
- learning tasks
- support vector machine
- knn
- imbalanced datasets
- dimensionality reduction
- feature set
- k nearest neighbor
- model selection
- machine learning
- image classification
- image processing
- decision trees
- support vector
- artificial neural networks
- class labels
- graph cuts
- knowledge discovery
- image features
- cost sensitive
- image segmentation
- learning models
- principal component analysis
- unsupervised learning