2518 search results - page 283 / 504 » Machine learning in sedimentation modelling |
196
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CGO
2010
IEEE
16 years 1 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
172
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GECCO
2007
Springer
16 years 23 days ago
2007
Springer
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
170
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
168
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ALT
2005
Springer
16 years 3 months ago
2005
Springer
Within learning theory teaching has been studied in various ways. In a common variant the teacher has to teach all learners that are restricted to output only consistent hypotheses...
181
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ALT
2004
Springer
16 years 3 months ago
2004
Springer
A revision algorithm is a learning algorithm that identifies the target concept, starting from an initial concept. Such an algorithm is considered efficient if its complexity (in ...