Name
Abstract | ||
|---|---|---|
This paper presents an incremental concept learning approach to identification of concepts with high overall accuracy. The main idea is to address the concept overlap as a central problem when learning multiple descriptions. Many traditional inductive algorithms, as those from the disjunctive version space family considered here, face this problem. The approach focuses on combinations of confident, possibly overlapping, concepts with an original stochastic complexity formula. The focusing is... |
Year | Venue | Keywords |
|---|---|---|
1996 | ECAI | concept learning |
Field | DocType | Citations |
Mathematical optimization,Computer science,Artificial intelligence,Machine learning,Version space | Conference | 1 |
PageRank | References | Authors |
0.36 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikolay I. Nikolaev | 1 | 113 | 13.68 |
| Evgueni N. Smirnov | 2 | 24 | 20.38 |