1393 search results - page 218 / 279 » Machine Learning by Function Decomposition |
124
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CORR
2012
Springer
13 years 7 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...
171
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
120
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ISCIS
2005
Springer
15 years 5 months ago
2005
Springer
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...