Automatic knowledge base refinement for classification systems

Artificial Intelligence

Volumn 35, Issue 2, 1988, Pages 197-226

  Ginsberg, Allen ^a   Weiss, Sholom M ^a   Politakis, Peter ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SYSTEMS; KNOWLEDGE BASE REFINEMENT; METALANGUAGE; REFINEMENT HEURISTICS; SEEK2;

ARTIFICIAL INTELLIGENCE;

EID: 0024031968     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/0004-3702(88)90012-4     Document Type: Article

References (21)

1. Heuristic classification
2. The epistemology of a rule-based expert system—a framework for explanation
3. Interactive transfer of expertise: Acquisition of new inference rules
4. Constructing and refining causal explanations from an inconsistent domain theory
5. MOLE: A knowledge acquisition tool that uses its head
6. Refinement of expert system knowledge bases: A metalinguistic framework for heuristic analysis
7. A metalinguistic approach to the construction of knowledge base refinement systems
8. Learning by failing to explain
9. MORE: An intelligent knowledge acquisition tool
10. Rule refinement using the probabilistic rule generator
11. The multi-purpose incremental learning system AQ15 and its testing application to three medical domains
12. Generalization as search
13. Explanation-based generalization: A unifying view
14. Using empirical analysis to refine expert system knowledge bases
15. Using empirical analysis to refine expert system knowledge bases
16. Representation and use of explicit justification for knowledge base refinement
17. KBEmacs A step toward the programmer's apprentice
18. On debugging rule sets when reasoning under uncertainty