69 search results - page 1 / 14 » Learning with Distance Substitution Kernels |
GFKL
2007
Springer
13 years 8 months ago
2007
Springer
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
DAGM
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
NPL
2002
13 years 4 months ago
2002
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
PR
2006
13 years 4 months ago
2006
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...