297 search results - page 26 / 60 » Learning from Ambiguously Labeled Examples |
ICDM
2008
IEEE
14 years 5 months ago
2008
IEEE
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
ECCV
2004
Springer
15 years 25 days ago
2004
Springer
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
ECCV
2008
Springer
15 years 25 days ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
ICPR
2006
IEEE
15 years 1 days ago
2006
IEEE
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
EMNLP
2009
13 years 8 months ago
2009
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...