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Article | REF: TE5255 V1

Kernel methods for statistical learning

Author: Stéphane CANU

Publication date: February 10, 2007

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7. Conclusion

The use of kernels addresses three important issues in statistical learning . Firstly, the kernel defines the similarity between examples. Secondly, it allows each shape vector to be represented by very general characteristics, giving it a form of universality (non-parametric approach). Finally, the nature of the set of hypotheses is specified from the kernel, allowing the problem to be formulated...

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