2518 search results - page 120 / 504 » Machine learning in sedimentation modelling |
140
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
166
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CORR
2012
Springer
13 years 11 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...
127
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ALT
2004
Springer
16 years 8 days ago
2004
Springer
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
119
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EDUTAINMENT
2010
Springer
15 years 4 months ago
2010
Springer
Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in des...
121
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APIN
1999
15 years 3 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...