Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting.
Jinwook LeeSayed M. BateniChanghyun JunEssam HeggyMehdi JameiDongkyun KimHamidreza GhafouriJonathan L. DeenikPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- multivariate data
- feature selection
- machine learning
- principal components
- high dimensional
- change detection
- categorical data
- text classification
- original data
- support vector machine
- data mining
- parameter space
- feature space
- pattern recognition
- multispectral
- learning algorithm
- remote sensing
- model selection
- feature set
- supervised learning
- support vector
- classification accuracy
- decision trees
- satellite images
- remote sensing images
- remotely sensed images
- reinforcement learning
- kernel function
- data analysis
- feature extraction
- image processing
- computer vision
- active learning
- multivariate time series
- data sets