1719 search results - page 54 / 344 » Supervised Dictionary Learning |
102
Voted
NIPS
2007
15 years 2 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
119
Voted
IJSI
2008
15 years 17 days ago
2008
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
127
Voted
KCAP
2011
ACM
14 years 3 months ago
2011
ACM
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
85
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
148
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JMLR
2012
13 years 3 months ago
2012
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...