57 search results - page 2 / 12 » An Analysis of Active Learning Strategies for Sequence Label... |
NLE
2008
13 years 4 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...
EMNLP
2009
13 years 2 months ago
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
CHI
1999
ACM
13 years 8 months ago
1999
ACM
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
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 ...