137 search results - page 4 / 28 » New Regularized Algorithms for Transductive Learning |
136
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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
2005
IEEE
16 years 12 days ago
2005
IEEE
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
109
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ICML
2005
IEEE
16 years 12 days ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
124
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
106
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ICML
2008
IEEE
16 years 12 days ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...