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Constructing informative priors using transfer learning

ICML, pp.713-720, (2006)

Cited: 375|Views27
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Abstract

Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative prior over the parameters, one that encodes useful domain knowledge. Focusing on logistic regression, we present an algorithm for automatically constructing a mult...More

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