Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach.
Yan JiaShuanggen JinPatrizia SaviQingyun YanWenmei LiPublished in: Remote. Sens. (2020)
Keyphrases
- random forest
- theoretical analysis
- machine learning
- decision trees
- support vector
- random forests
- feature ranking
- ensemble methods
- soil moisture
- support vector machine
- feature set
- information retrieval
- logistic regression
- feature selection
- generalization ability
- machine learning algorithms
- natural language processing
- relevance feedback
- ensemble learning
- text classification
- machine learning methods
- base classifiers
- active learning
- image classification
- naive bayes
- prediction accuracy
- svm classifier
- multi class