1548 search results - page 43 / 310 » Supervised Tensor Learning |
IJSI
2008
14 years 10 months 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...
KCAP
2011
ACM
14 years 24 days 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...
ICPR
2006
IEEE
15 years 11 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...
180
click to vote
NIPS
2008
14 years 11 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
122
click to vote
JMLR
2012
13 years 11 days 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 ...