240 search results - page 22 / 48 » Laplacian Spectrum Learning |
117
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COLT
2008
Springer
15 years 3 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
126
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AAAI
2012
13 years 4 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
137
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenm...
121
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UAI
2008
15 years 3 months ago
2008
A Bayesian treatment of latent directed graph structure for non-iid data is provided where each child datum is sampled with a directed conditional dependence on a single unknown p...
134
Voted
ICML
2005
IEEE
16 years 2 months 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...