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Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Double-deck elevator systems using genetic network programming with reinforcement learning
Kernel regression for travel time estimation via convex optimization
Introduction to the Virtual Collection on Machine Learning in Aerospace
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
UUV teams, control from a biological perspective
Evolutionary Computation Methods for Helicopter Loads Estimation
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Neural networks for continuous online learning and control
Progressive Bayesian Neural Networks
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Autonomous helicopter control using reinforcement learning policy search methods