3114 search results - page 270 / 623 » Distributed Case-Based Learning |
139
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ETS
2002
IEEE
15 years 2 months ago
2002
IEEE
Without shared understanding, hardly any group learning takes place. Though much has been written about the essence of shared understanding, less is known about how to assess the ...
120
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IJAR
2010
15 years 20 days ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
146
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
118
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COGSR
2011
14 years 9 months ago
2011
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
134
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JMLR
2010
14 years 9 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...