Hourly PM2.5 Estimates from a Geostationary Satellite Based on an Ensemble Learning Algorithm and Their Spatiotemporal Patterns over Central East China.
Jianjun LiuFuzhong WengZhanqing LiMaureen C. CribbPublished in: Remote. Sens. (2019)
Keyphrases
- learning algorithm
- spatiotemporal patterns
- training data
- machine learning algorithms
- unique features
- neural network
- short term
- learning scheme
- ensemble methods
- generalization ability
- training samples
- active learning
- back propagation
- hong kong
- wind speed
- training examples
- remote sensing
- learning problems
- ensemble learning
- learning rate
- machine learning
- classifier ensemble
- base classifiers
- generalization error
- confidence intervals
- support vector
- decision trees
- base learners
- data streams
- supervised learning
- long term