265 search results - page 6 / 53 » Fisher Kernels for Relational Data |
102
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
66
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ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
107
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CDC
2009
IEEE
15 years 1 months ago
2009
IEEE
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
JMLR
2006
14 years 9 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...