Learning Recursive Concepts with Anomalies
نویسندگان
چکیده
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describes a finite variant of the target concept – henceforth called learning with anomalies. As usual, we distinguish between learning from only positive data and learning from positive
منابع مشابه
Learning Approximations of Recursive Concepts Learning Approximations of Recursive Concepts
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios where the learner is successful if its nal hypothesis describes a nite variant of the target concept, i.e., learning with anomalies. Learning from positive data only and from both positive and negative data is distinguished. The following learning models are studied: learning in the ...
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