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We present a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density estimate. We show how to...
Search relevance: 346.87 | Views last month: 0 | Catalog Last Checked: June 30, 2026 at 10:24 PM -
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density estimate. We show...
Search relevance: 331.48 | Views last month: 0 | Catalog Last Checked: August 04, 2025 at 12:41 PM -
This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive definite mappings from the...
Search relevance: 117.18 | Views last month: 0 | Catalog Last Checked: April 04, 2026 at 09:04 PM -
Various instruments are used to create images of the Earth and other objects in the universe in a diverse set of wavelength bands with the aim of understanding natural phenomena. Sometimes these...
Search relevance: 79.99 | Views last month: 0 | Catalog Last Checked: August 04, 2025 at 02:48 PM
