2518 search results - page 240 / 504 » Machine learning in sedimentation modelling |
218
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AI
2009
Springer
16 years 1 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
168
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SODA
2001
ACM
15 years 8 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
171
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ML
2010
ACM
15 years 5 months ago
2010
ACM
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
149
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ML
1998
ACM
15 years 6 months ago
1998
ACM
In the k-Restricted-Focus-of-Attention (k-RFA) model, only k of the n attributes of each example are revealed to the learner, although the set of visible attributes in each example...
182
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...