
Predicting Aircraft Descent Length with Machine Learning
Author(s) -
Richard Alligier,
David Gianazza,
Nicolas Durand
Publication year - 2016
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - gradient boosting , gradient descent , computer science , descent (aeronautics) , boosting (machine learning) , baseline (sea) , artificial intelligence , ridge , machine learning , cruise , artificial neural network , regression , radar , air traffic control , altitude (triangle) , meteorology , statistics , engineering , mathematics , geology , geography , random forest , telecommunications , aerospace engineering , cartography , oceanography , geometry