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Bhattacharyya and Expected Likelihood Kernels
[chapter]
2003
Lecture Notes in Computer Science
We introduce a new class of kernels between distributions. These induce a kernel on the input space between data points by associating to each datum a generative model fit to the data point individually. The kernel is then computed by integrating the product of the two generative models corresponding to two data points. This kernel permits discriminative estimation via, for instance, support vector machines, while exploiting the properties, assumptions, and invariances inherent in the choice of
doi:10.1007/978-3-540-45167-9_6
fatcat:uxa7odqhlfbrtnrnfyoiw4lkn4