On divergences, surrogate loss functions, and decentralized detection
XuanLong NguyenMartin J. WainwrightMichael I. JordanPublished in: CoRR (2005)
Keyphrases
- loss function
- bregman divergences
- pairwise
- support vector
- loss minimization
- logistic regression
- squared error
- learning to rank
- risk minimization
- convex loss functions
- empirical risk
- reproducing kernel hilbert space
- cost sensitive
- boosting algorithms
- metric learning
- information retrieval
- information theoretic
- active learning
- feature selection