63 search results - page 1 / 13 » Complexity Bounds for Batch Active Learning in Classificatio... |
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
WWW
2006
ACM
14 years 5 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
JMLR
2010
12 years 11 months ago
2010
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...