881 search results - page 43 / 177 » Spectral Algorithms for Supervised Learning |
133
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AIR
2006
15 years 2 months ago
2006
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
114
Voted
EMNLP
2010
15 years 13 days ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
147
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
A novel approach to scene categorization is proposed. Similar to previous works of [11, 15, 3, 12], we introduce an intermediate space, based on a low dimensional semantic "t...
162
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HAIS
2010
Springer
15 years 12 days ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
178
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KDD
2012
ACM
13 years 4 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...