Landslide Risk Classification Based on Ensemble Machine Learning.
Leiyu DaiMingcang ZhuZhanyong HeYong HeZezhong ZhengGuoqing ZhouChao WangJuan RenHongqiong TangQiang LiuFang HuangZhongnian LiMujie LiZhiyong WangMingqi LiLing JiangPublished in: IGARSS (2021)
Keyphrases
- machine learning
- machine learning methods
- feature selection
- pattern recognition
- decision trees
- machine learning algorithms
- final classification
- supervised learning
- text classification
- support vector machine
- supervised machine learning
- machine learning approaches
- neural network
- model selection
- multiple classifier systems
- benchmark datasets
- classification accuracy
- training set
- supervised classification
- classification scheme
- ensemble methods
- image classification
- natural language processing
- information extraction
- support vector
- feature extraction
- learning algorithm
- classification systems
- classifier ensemble
- base classifiers
- support vector machine svm
- classification algorithm
- training samples
- unsupervised learning
- feature vectors
- feature subset
- classification models
- learning problems
- classification rules
- cross validation
- text mining
- semi supervised
- concept drifting data streams
- wrapper feature selection