Accounting for Training Data Error in Machine Learning Applied to Earth Observations.
Arthur ElmesSeyed Hamed AlemohammadRyan AveryKelly K. CaylorJ. Ronald EastmanLewis FishgoldMark A. FriedlMeha JainDivyani KohliJuan Carlos Laso BayasDalton D. LungaJessica L. McCartyRobert Gilmore Pontius Jr.Andrew B. ReinmannJohn RoganLei SongHristiana StoynovaSu YeZhuang-Fang YiLyndon D. EstesPublished in: Remote. Sens. (2020)
Keyphrases
- machine learning
- training data
- learning algorithm
- decision trees
- computer vision
- supervised learning
- data sets
- machine learning methods
- pattern recognition
- data mining
- machine learning algorithms
- semi supervised learning
- domain knowledge
- information retrieval
- model selection
- support vector machine
- error rate
- error bounds
- generalization error
- machine learning approaches
- error analysis
- error detection