Sciweavers

23 search results - page 1 / 5
» Multi-Criteria-Based Strategy to Stop Active Learning for Da...
Sort
View
TSLP
2010
87views more  TSLP 2010»
13 years 3 months ago
Confidence-based stopping criteria for active learning for data annotation
Jingbo Zhu, Huizhen Wang, Eduard H. Hovy, Matthew ...
FOIKS
2008
Springer
14 years 1 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
FOIKS
2008
Springer
13 years 6 months ago
Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
Christos Dimitrakakis, Christian Savu-Krohn
LREC
2008
78views Education» more  LREC 2008»
13 years 6 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn