74 search results - page 1 / 15 » Active Learning Strategies for Multi-Label Text Classificati... |
ECIR
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
IS
2008
13 years 4 months ago
2008
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
IIR
2010
13 years 6 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...