@MISC\{IMM2011-06203,
    author       = "B. S. Jensen and J. B. Nielsen and J. Larsen",
    title        = "On the Product Probability Kernel in Sparse Gaussian Process Models",
    year         = "2011",
    month        = "oct",
    keywords     = "Product probability kernel, Kernel Methods, Gaussian Processes, Clustering, Generative Kernels",
    publisher    = "{DTU} - {IMM}",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6203-full.html",
    abstract     = "In this report we consider the particular use of the product probability kernel in models based on the pseudo-input formulation of Gaussian process priors. In particular we focus on modeling inputs as generative mixture models which in effect “forces” the pseudo-inputs to be densities as well. We focus on the learning and interpretation of these pseudo-input/densities in a clustering sense, and provide a few connections with other formulations of covariance structure for pseudo inputs."
}