1427 search results - page 7 / 286 » Learning with Annotation Noise |
93
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
EPIA
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
55
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
90
Voted
COLING
2010
14 years 4 months ago
2010
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
BMCBI
2007
14 years 9 months ago
2007
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...