From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning.
Florent DewezBenjamin GuedjVincent VandewallePublished in: CoRR (2020)
Keyphrases
- machine learning
- civil aviation
- prediction accuracy
- flight data
- natural language processing
- linear regression model
- root mean square error
- maximum likelihood
- prediction model
- flight path
- decision trees
- air traffic control
- air traffic
- pattern recognition
- machine learning methods
- computer vision
- parameter learning
- parameter estimation
- artificial intelligence
- feature selection
- neural network
- machine learning algorithms
- case study
- bayesian networks
- active learning
- extreme values
- supervised learning
- statistical inference
- text classification
- predictive model
- autoregressive
- knowledge acquisition
- inductive logic programming
- parameter space
- statistical methods