239 search results - page 8 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
94
Voted
NIPS
2007
15 years 2 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...
116
Voted
SDM
2008
SIAM
15 years 2 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
119
Voted
IJSI
2008
15 years 24 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...
74
Voted
KES
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
125
Voted
NIPS
2004
15 years 2 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...