211 search results - page 3 / 43 » On Spectral Learning of Mixtures of Distributions |
108
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SSPR
2010
Springer
14 years 8 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
FOCS
2005
IEEE
15 years 3 months ago
2005
IEEE
We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...
FOCS
2005
IEEE
15 years 3 months ago
2005
IEEE
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
104
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IJCAI
2003
14 years 11 months ago
2003
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...