211 search results - page 3 / 43 » On Spectral Learning of Mixtures of Distributions |
153
Voted
SSPR
2010
Springer
15 years 5 days 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),...
105
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ICML
2007
IEEE
16 years 2 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 ...
109
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FOCS
2005
IEEE
15 years 7 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...
102
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FOCS
2005
IEEE
15 years 7 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...
138
Voted
IJCAI
2003
15 years 3 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...