297 search results - page 10 / 60 » Learning from Ambiguously Labeled Examples |
ECCV
2008
Springer
15 years 24 days ago
2008
Springer
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
EDM
2008
14 years 10 days ago
2008
Students can use an educational system's help in unexpected r example, they may bypass abstract hints in search of a concrete solution. This behavior has traditionally been la...
CEC
2008
IEEE
14 years 27 days ago
2008
IEEE
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
PAKDD
2005
ACM
14 years 4 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
NIPS
2003
14 years 8 days ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...