Learning And Optimization Of The Kernel Functions From Insufficiently Labeled Data
Amongst all the machine learning techniques, kernel methods are increasingly becoming popular due to their efficiency, accuracy and ability to handle high-dimensional data. The fundamental problem related to these learning techniques is the selection of the kernel function. Therefore, learning th...
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| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2010
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| Accès en ligne: | http://eprints.usm.my/41234/ |
| Abstract | Abstract here |