2518 search results - page 120 / 504 » Machine learning in sedimentation modelling |
ICML
2009
IEEE
14 years 11 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...
CORR
2012
Springer
12 years 5 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...
ALT
2004
Springer
14 years 7 months 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...
EDUTAINMENT
2010
Springer
13 years 11 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...
APIN
1999
13 years 9 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...