84 search results - page 16 / 17 » Negative Training Data Can be Harmful to Text Classification |
NLE
2008
13 years 7 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...
AAAI
2010
13 years 8 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...