Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling.

Nicolò Cesa-Bianchi Alex Conconi Claudio Gentile

Published in: COLT (2003)

Keyphrases

selective sampling
linear threshold
active learning
learning algorithm
learning process

noise tolerant
sampling algorithm
feature selection
training data
reinforcement learning

learning tasks
learning problems
decision trees
support vector
prior knowledge

data sets
concept learning
random sampling
sample complexity