• Bayesian parameter estimation Web Service
Is Referenced By
  • Given a training set encoded as vectors of cue (or feature) occurrences, this web service estimates the parameters P(cuei|class): the probability of seeing each cue as a member or non-member of the class. This estimation is performed using Bayesian inference, which combines prior knowledge with observed data. The parameters estimated with this web service can be used, for example, to classify new instances using a Naive Bayes classifier. The output format is the one needed as input for the naive_bayes_classifier webservice.
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  • Bayesian parameter estimation Web Service
is References of
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