Name
Abstract | ||
|---|---|---|
Instance retraction is a difficult problem for concept learning by version spaces. This chapter introduces a family of version-space representations called one-sided instance-based boundary sets. They are correct and efficiently computable representations for admissible concept languages. Compared to other representations, they are the most efficient useful(1) version-space representations for instance retraction. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-44497-8_14 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
concept learning | Version management,Computer science,Concept learning,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2682 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 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 |