7 search results - page 1 / 2 » An empirical study on selective sampling in active learning ... |
AIRWEB
2009
Springer
13 years 11 months ago
2009
Springer
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
ECIR
2003
Springer
13 years 6 months ago
2003
Springer
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
MM
2004
ACM
13 years 10 months ago
2004
ACM
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...