Malicious Omissions and Errors in Answers to Membership Queries
作者:Dana Angluin, Mārtiņš Kriķis, Robert H. Sloan, György Turán
摘要
We consider two issues in polynomial-time exact learning of concepts using membership and equivalence queries: (1) errors or omissions in answers to membership queries, and (2) learning finite variants of concepts drawn from a learnable class.
论文关键词:Concept learning, queries, errors
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论文官网地址:https://doi.org/10.1023/A:1007311411259