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Estimation of conditional quantiles by a new smoothing approximation of asymmetric loss functions.
G. H. Zhao
Kok Lay Teo
K. S. Chan
Published in:
Stat. Comput. (2005)
Keyphrases
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loss function
pairwise
learning to rank
logistic regression
squared error
support vector
risk minimization
parameter estimation
loss minimization
convex loss functions
reproducing kernel hilbert space
binary classification
approximation algorithms
bregman divergences
boosting algorithms
pairwise constraints
data distribution
sliding window
hinge loss
supervised learning
learning to rank algorithms
special case