Name
Abstract | ||
|---|---|---|
The process of construction and tuning of classifier networks is discussed. The idea of relating the basic inputs with the target classification concepts via the internal layers of intermediate concepts is explored. Intuitions and relationships to other approaches, as well as the illustrative examples are provided. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25929-9_67 | Lecture Notes in Artificial Intelligence |
Field | DocType | Volume |
Concept map,Concept space,Computer science,Intuition,Artificial intelligence,Classifier (linguistics),Machine learning | Conference | 3066 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.40 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominik Slezak | 1 | 185 | 19.93 |
| Marcin S. Szczuka | 2 | 468 | 44.05 |
| Jakub Wroblewski | 3 | 353 | 30.77 |