Learning Sequence Kernels

@inproceedings{Rostamizadeh2008LearningSK,
  title={Learning Sequence Kernels},
  author={Afshin Rostamizadeh},
  year={2008}
}
Kernel methods are used to tackle a variety of learning tasks including classification, regression, ranking, clus tering, and dimensionality reduction. The appropriate choice of a kernel is often left to the user. But, poor selections may lead to a sub-optimal performance. Instead, sample points can be used to learn a kernel function appropriate for the task by selecting one out of a family of kernels determined by the user. This paper considers the problem of learning sequence kernel functions… CONTINUE READING
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