46 search results - page 5 / 10 » Manifold Regularization: A Geometric Framework for Learning ... |
PKDD
2009
Springer
14 years 9 days ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
JMLR
2010
13 years 17 days ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
NIPS
2007
13 years 7 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...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...