2103 search results - page 24 / 421 » Approximate Learning of Dynamic Models |
104
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JMLR
2010
14 years 8 months ago
2010
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
116
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ICCBR
2007
Springer
15 years 8 months ago
2007
Springer
The aim of this paper is to analyze how the generalizations built by a CBR method can be used as local approximations of a concept. From this point of view, these local approximati...
151
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CORR
2012
Springer
13 years 9 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
ICALT
2008
IEEE
15 years 8 months ago
2008
IEEE
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
NIPS
2007
15 years 3 months ago
2007
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...