Asymptotic Expansion for Erlang Loss Function and Its Derivative.
Haruo AkimaruHaruhisa TakahashiPublished in: IEEE Trans. Commun. (1981)
Keyphrases
- loss function
- pairwise
- empirical risk
- support vector
- learning to rank
- risk minimization
- logistic regression
- reproducing kernel hilbert space
- hinge loss
- stochastic gradient descent
- boosting framework
- least squares
- large deviations
- information retrieval
- pairwise constraints
- boosting algorithms
- solution path
- regularization term
- machine learning