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Kernel Methods for Pattern Analysis by Nello Cristianini, John Shawe-Taylor

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Kernels from generative models

It is often the case that we know something about the process generating the data. For example, DNA sequences have been generated through evolution in a series of modifications from ancestor sequences, text can be viewed as being generated by a source of words perhaps reflecting the topic of the document, a time series may have been generated by a dynamical system of a certain type, 2-dimensional images by projections of a 3-dimensional scene, and so on.

For all of these data sources we have some, albeit imperfect, knowledge about the source generating the data, and hence of the type of invariances, features and ...

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