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2 search results - page 1 / 1 » An alternative view of variational Bayes and asymptotic appr... |
ML
2012
ACM
11 years 5 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
NECO
2007
12 years 9 months ago
2007
It is well-known that, in unidentiļ¬able models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
