The Role of Model Selection in Preference Learning.
Michael HuelsmanMiroslaw TruszczynskiPublished in: FLAIRS Conference (2021)
Keyphrases
- model selection
- preference learning
- gaussian processes
- hyperparameters
- gaussian process
- cross validation
- ordinal regression
- machine learning
- sample size
- regression model
- model selection criteria
- generalization error
- pairwise comparison
- active learning
- recommender systems
- feature selection
- information criterion
- data sets
- maximum likelihood
- ranking functions
- prior knowledge
- feature vectors
- pairwise
- selection criterion