Borrowing external information to improve Bayesian confidence propagation neural network
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Clinical Pharmacology"
DOI: 10.1007/s00228-020-02909-w
Abstract: Purpose A Bayesian confidence propagation neural network (BCPNN) is a signal detection method used by the World Health Organization Uppsala Monitoring Centre to analyze spontaneous reporting system databases. We modify the BCPNN to increase its… read more here.
Keywords: information; method; proposed method; confidence propagation ... See more keywords
Testing the Bayesian confidence hypothesis
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Vision"
DOI: 10.1167/17.10.1391
Abstract: Asking subjects to rate their confidence is one of the oldest procedures in psychophysics. Remarkably, quantitative models of confidence ratings have been scarce. The Bayesian confidence hypothesis (BCH) states that an observer’s confidence rating is… read more here.
Keywords: confidence; bayesian confidence; confidence hypothesis; testing bayesian ... See more keywords