Model Selection and Estimation Via Subjective User Preferences.
Jaakko HollménPublished in: Discovery Science (2007)
Keyphrases
- model selection
- user preferences
- parameter estimation
- error estimation
- cross validation
- selection criterion
- hyperparameters
- user profiles
- collaborative filtering
- bayesian learning
- regression model
- sample size
- recommender systems
- generalization error
- machine learning
- variable selection
- mixture model
- statistical inference
- user specific
- recommendation systems
- feature selection
- model selection criteria
- information criterion
- gaussian process
- data mining
- marginal likelihood
- parameter determination
- supervised learning
- bayesian networks
- preference model
- automatic model selection