Name
Abstract | ||
|---|---|---|
Instance retraction is a dicult problem for concept learning by version spaces. In this paper, two new version-space representations are introduced: instance-based maximal boundary sets and instance- based minimal boundary sets. They are correct representations for the class of admissible concept languages and are eciently computable. Compared to other representations, they are the most ecient practi- cal version-space representations for instance retraction. |
Year | Venue | Keywords |
|---|---|---|
2002 | KDID | concept learning |
Field | DocType | Citations |
Instance-based learning,Concept learning,Artificial intelligence,Mathematics,Version space | Conference | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evgueni N. Smirnov | 1 | 24 | 20.38 |
| Ida G. Sprinkhuizen-kuyper | 2 | 84 | 13.83 |
| H. Jaap van den Herik | 3 | 861 | 137.51 |