A Bayesian Approach to Identifying Representational Errors
A Bayesian Approach to Identifying Representational Errors
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Trained AI systems and expert decision makers can make errors that are often difficult to identify and understand. Determining the root cause for these errors can improve future decisions. This work presents Generative Error Model (GEM), a generative model for inferring representational errors based on observations of an actor's behavior (either si...
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A Bayesian Approach to Identifying Representational Errors
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TN_cdi_proquest_journals_2506968798
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2506968798
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E-ISSN
2331-8422
