358 search results - page 27 / 72 » Learning from labeled and unlabeled data on a directed graph |
116
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PAMI
2010
14 years 6 months ago
2010
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
ML
2010
ACM
14 years 10 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...
138
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JMLR
2012
13 years 2 months ago
2012
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
ICML
2008
IEEE
16 years 18 days ago
2008
IEEE
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...