Generalized Boosting Algorithms for Convex Optimization.

Alexander Grubb Drew Bagnell

Published in: ICML (2011)

Keyphrases

convex optimization
boosting algorithms
multi class
cost sensitive
loss function
primal dual
binary classification

multi class boosting
total variation
generalization error
low rank
learning algorithm
convex optimization problems
weak classifiers

soft margin
base classifiers
data sets
ensemble methods
training data
linear classifiers

optimal solution
image processing
support vector
pairwise
active learning
support vector machine