496 search results - page 61 / 100 » Semi-Supervised Learning of Mixture Models |
104
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DSMML
2004
Springer
15 years 5 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
144
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ICMCS
2009
IEEE
14 years 9 months ago
2009
IEEE
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
109
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ICML
2004
IEEE
16 years 18 days ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
TOIS
2010
14 years 10 months ago
2010
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
127
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BMCBI
2008
14 years 10 months ago
2008
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...