Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers.
A. I. ParkesJ. CamilleriD. A. HudsonAdam J. SobeyPublished in: CoRR (2021)
Keyphrases
- loss function
- machine learning
- learning models
- pairwise
- loss minimization
- support vector
- logistic regression
- squared error
- learning to rank
- learning algorithm
- empirical risk
- decision trees
- risk minimization
- convex loss functions
- machine learning methods
- feature selection
- learning to rank algorithms
- machine learning algorithms
- bayesian networks
- text classification
- text mining
- hinge loss