1389 search results - page 22 / 278 » Active learning using pre-clustering |
NAACL
2003
13 years 10 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
ICANN
2007
Springer
14 years 20 days ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
AAAI
1997
13 years 10 months ago
1997
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
ACL
2008
13 years 10 months ago
2008
We extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm, we select examples for several annotation tasks rather than f...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...