CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1.
Imme Ebert-UphoffRyan LagerquistKyle HilburnYoonjin LeeKatherine HaynesJason StockChristina KumlerJebb Q. StewartPublished in: CoRR (2021)
Keyphrases
- loss function
- environmental sciences
- neural network
- pairwise
- support vector
- loss minimization
- artificial intelligence
- squared error
- reproducing kernel hilbert space
- learning to rank
- pattern recognition
- risk minimization
- remote sensing
- computer science
- boosting algorithms
- convex loss functions
- air quality
- statistical methods
- hinge loss
- machine learning
- bregman divergences
- web search
- knn
- training set
- decision trees