1531 search results - page 87 / 307 » Learning probabilistic models of the Web |
171
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RSKT
2009
Springer
16 years 5 days ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
159
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UAI
2008
15 years 7 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
148
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SSPR
2004
Springer
15 years 11 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
147
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NIPS
2007
15 years 7 months ago
2007
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
145
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AGI
2008
15 years 7 months ago
2008
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...