11 search results - page 1 / 3 » Nonparametric Transforms of Graph Kernels for Semi-Supervise... |
104
Voted
NIPS
2004
14 years 11 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...
106
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TIT
2008
14 years 10 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Cr...
116
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SDM
2011
SIAM
14 years 1 months ago
2011
SIAM
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
96
Voted
CIKM
2008
Springer
15 years 13 days ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...