Abstract
An algorithm is presented for a common induction problem, the specialization of overly general concepts. A concept is too general when it matches a negative example. The particular case addressed here assumes that concepts are represented as conjunctions of positive literals, that specialization is performed by conjoining literals to the overly general concept, and that the resulting specializations are to be as general as possible. Although the problem is NP-hard, there exists an algorithm, based on manipulation of bit vectors, that has provided good performance in practice.
Original language | English (US) |
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Pages (from-to) | 99-106 |
Number of pages | 8 |
Journal | Machine Learning |
Volume | 4 |
Issue number | 1 |
DOIs | |
State | Published - Oct 1989 |
Externally published | Yes |
Keywords
- concept induction
- specialization
- version spaces
ASJC Scopus subject areas
- Software
- Artificial Intelligence