Learning from Informants: Relations between Learning Success Criteria

31 Jan 2018 Martin Aschenbach Timo Kötzing Karen Seidel

Learning from positive and negative information, so-called \emph{informants}, being one of the models for human and machine learning introduced by Gold, is investigated. Particularly, naturally arising questions about this learning setting, originating in results on learning from solely positive information, are answered... (read more)

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