The weight of competence under a realistic loss function.
Stephan HartmannJan SprengerPublished in: Log. J. IGPL (2010)
Keyphrases
- loss function
- pairwise
- weight vector
- support vector
- learning to rank
- logistic regression
- empirical risk
- regularization term
- risk minimization
- reproducing kernel hilbert space
- convex loss functions
- loss minimization
- boosting framework
- stochastic gradient descent
- boosting algorithms
- hinge loss
- solution path
- cross validation
- bayes rule
- support vector machine
- gradient boosting
- cost function
- machine learning