A survey and taxonomy of loss functions in machine learning.
Lorenzo CiampiconiAdam ElwoodMarco LeonardiAshraf MohamedAlessandro RozzaPublished in: CoRR (2023)
Keyphrases
- loss function
- machine learning
- learning models
- pairwise
- support vector
- logistic regression
- loss minimization
- squared error
- learning to rank
- risk minimization
- learning algorithm
- machine learning algorithms
- machine learning methods
- empirical risk
- learning to rank algorithms
- reproducing kernel hilbert space
- text classification
- text mining
- learning tasks
- support vector machine
- convex loss functions
- feature selection
- update rules
- decision trees
- boosting algorithms
- information extraction
- supervised learning
- hinge loss
- reinforcement learning
- square loss
- semi supervised learning