199 search results - page 3 / 40 » A general agnostic active learning algorithm |
ICDM
2009
IEEE
14 years 3 days ago
2009
IEEE
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
SE
2010
13 years 6 months ago
2010
Abstract: Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively litt...
FOCS
2008
IEEE
13 years 12 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
COLT
2005
Springer
13 years 11 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...