571 search results - page 47 / 115 » Learning with Constrained and Unlabelled Data |
AAAI
1998
13 years 11 months ago
1998
The problem of sequence categorization is to generalize from a corpus of labeled sequences procedures for accurately labeling future unlabeled sequences. The choice of representat...
CVPR
2012
IEEE
12 years 12 days ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
NAACL
2010
13 years 7 months ago
2010
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
NIPS
2007
13 years 11 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...