2204 search results - page 43 / 441 » Agnostic active learning |
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. H...
PKDD
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
NLE
2008
14 years 9 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...