| Автор | Michael Biehl |
| Автор | Reimer Kühn |
| Автор | Ion-Olimpiu Stamatescu |
| Дата выпуска | 2000-10-06 |
| dc.description | We show that a straightforward extension of a simple learning model based on the Hebb rule, the previously introduced association-reinforcement Hebb rule, can cope with `delayed', unspecific reinforcement also in the case of structured data and lead to perfect generalization. |
| Формат | application.pdf |
| Издатель | Institute of Physics Publishing |
| Название | Learning structured data from unspecific reinforcement |
| Тип | paper |
| DOI | 10.1088/0305-4470/33/39/302 |
| Print ISSN | 0305-4470 |
| Журнал | Journal of Physics A: Mathematical and General |
| Том | 33 |
| Первая страница | 6843 |
| Последняя страница | 6857 |
| Выпуск | 39 |
