Загрузка...
A Framework for Learning from Distributed Data Using Sufficient Statistics and its Application to Learning Decision Trees
This paper motivates and precisely formulates the problem of learning from distributed data; describes a general strategy for transforming traditional machine learning algorithms into algorithms for learning from distributed data; demonstrates the application of this strategy to devise algorithms fo...
Сохранить в:
| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2004
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2846376/ https://ncbi.nlm.nih.gov/pubmed/20351798 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|