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Bayesian interpretation of kernel regularization
Known as:
Bayesian interpretation of regularization
In machine learning, kernel methods arise from the assumption of an inner product space or similarity structure on inputs. For some such methods…
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8 relations
Gaussian process
Gramian matrix
Hilbert space
Kernel methods for vector output
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Machine learning
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