Learning Linear and Kernel Predictors with the 0-1 Loss Function.

Shai Shalev-Shwartz Ohad Shamir Karthik Sridharan

Published in: IJCAI (2011)

Keyphrases

loss function
boosting framework
learning algorithm
support vector
active learning
reproducing kernel hilbert space
feature space
pairwise
learning tasks
logistic regression
learning to rank
linear model
empirical risk
bayes rule
square loss