iFusion: Individualized Fusion Learning
| Autor: | Jieli Shen, Regina Y. Liu, Minge Xie |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Fusion business.industry Process (engineering) Computer science 05 social sciences Machine learning computer.software_genre 01 natural sciences 010104 statistics & probability Yield (chemistry) 0502 economics and business Individual data Confidence distribution Artificial intelligence 0101 mathematics Statistics Probability and Uncertainty business computer 050205 econometrics |
| Zdroj: | Journal of the American Statistical Association. 115:1251-1267 |
| ISSN: | 1537-274X 0162-1459 |
| DOI: | 10.1080/01621459.2019.1672557 |
| Popis: | Inferences from different data sources can often be fused together, a process referred to as “fusion learning,” to yield more powerful findings than those from individual data sources alone. Effect... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|