297 search results - page 1 / 60 » Learning from Ambiguously Labeled Examples |
116
Voted
IDA
2005
Springer
15 years 5 months ago
2005
Springer
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
128
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
In many image and video collections, we have access
only to partially labeled data. For example, personal photo
collections often contain several faces per image and a caption
t...
136
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AAAI
2007
15 years 2 months ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
57
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AAAI
1994
15 years 1 months ago
1994
NAACL
2010
14 years 10 months ago
2010
Several methods for automatically generating labeled examples that can be used as training data for WSD systems have been proposed, including a semisupervised approach based on re...