1427 search results - page 13 / 286 » Kernels for Semi-Structured Data |
128
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ICPR
2006
IEEE
16 years 2 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
137
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JMLR
2010
14 years 8 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
101
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
102
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ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
122
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BICOB
2010
Springer
14 years 12 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...