The complexity of exact learning of acyclic conditional preference networks from swap examples

Artificial Intelligence, pp. 1031822020.

Cited by: 0|Views13


Learning of user preferences, as represented by, for example, Conditional Preference Networks (CP-nets), has become a core issue in AI research. Recent studies investigate learning of CP-nets from randomly chosen examples or from membership and equivalence queries. To assess the optimality of learning algorithms as well as to better under...More



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