Machine learning for uncertainty estimation in fusing precipitation observations from satellites and ground-based gauges.
Georgia PapacharalampousHristos TyralisNikolaos DoulamisAnastasios DoulamisPublished in: CoRR (2023)
Keyphrases
- machine learning
- handling uncertainty
- accurate estimation
- remote sensing
- pattern recognition
- information extraction
- knowledge acquisition
- robust estimation
- machine learning algorithms
- surface temperature
- data mining
- estimation algorithm
- conditional probabilities
- parameter estimation
- artificial intelligence
- text classification
- learning algorithm
- estimation accuracy
- machine learning approaches
- density estimation
- inductive learning
- uncertain data
- learning tasks
- machine learning methods
- active learning
- learning systems
- short term
- data analysis
- data fusion
- sensor data
- image sequences
- decision trees
- support vector machine
- feature selection
- supervised learning
- robust optimization
- text mining
- computational intelligence