Instance-based prediction of real-valued attributes

作者: Dennis Kibler , David W. Aha , Marc K. Albert

DOI: 10.1111/J.1467-8640.1989.TB00315.X

关键词:

摘要: … Instance-based learning (IBL) strategies represent concept descriptions as a set of instances, where each instance is described in terms of a set of attribute-value pairs. IBL techniques …

参考文章(14)
Craig W. Stanfill, Memory-based reasoning applied to english pronunciation national conference on artificial intelligence. pp. 577- 581 ,(1987)
DENNIS KIBLER, DAVID W. AHA, Learning Representative Exemplars of Concepts: An Initial Case Study Proceedings of the Fourth International Workshop on MACHINE LEARNING#R##N#June 22–25, 1987 University of California, Irvine. pp. 24- 30 ,(1987) , 10.1016/B978-0-934613-41-5.50006-4
JEFFREY C. SCHLIMMER, Incremental Adjustment of Representations for Learning Proceedings of the Fourth International Workshop on MACHINE LEARNING#R##N#June 22–25, 1987 University of California, Irvine. pp. 79- 90 ,(1987) , 10.1016/B978-0-934613-41-5.50012-X
Nada Lavrac, Igor Mozetic, Jiarong Hong, Ryszard S. Michalski, The multi-purpose incremental learning system AQ15 and its testing application to three medical domains national conference on artificial intelligence. pp. 1041- 1045 ,(1986)
Margaret E. Connell, E. Connell, Paul E. Utgoff, Learning to control a dynamic physical system computational intelligence. ,vol. 3, pp. 330- 337 ,(1987) , 10.1111/J.1467-8640.1987.TB00219.X
Craig Stanfill, David Waltz, Toward memory-based reasoning Communications of the ACM. ,vol. 29, pp. 1213- 1228 ,(1986) , 10.1145/7902.7906
Tom M Mitchell, None, Generalization as search Artificial Intelligence. ,vol. 18, pp. 203- 226 ,(1982) , 10.1016/0004-3702(82)90040-6
L. G. Valiant, A theory of the learnable symposium on the theory of computing. ,vol. 27, pp. 1134- 1142 ,(1984) , 10.1145/800057.808710