| 发明名称 |
SCALABLE ONLINE HIERARCHICAL META-LEARNING |
| 摘要 |
A method of meta-learning includes receiving a prediction objective, extracting a plurality of subsets of data from a distributed dataset, generating a plurality of local predictions, wherein each local prediction is based on a different subset of the plurality of subsets of data and the prediction objective, combining the plurality of local predictions, and generating a final prediction based on the combined local predictions. |
| 申请公布号 |
US2014279741(A1) |
申请公布日期 |
2014.09.18 |
| 申请号 |
US201313840763 |
申请日期 |
2013.03.15 |
| 申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
SOW DABY M.;Turaga Deepak S.;Zhang Yu |
| 分类号 |
G06N99/00 |
主分类号 |
G06N99/00 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method of meta-learning, comprising:
receiving a prediction objective; extracting a plurality of subsets of data from a distributed dataset; generating a plurality of local predictions, by a plurality of local learners, wherein each local prediction is based on a different subset of the plurality of subsets of data and the prediction objective; combining the plurality of local predictions, by a plurality of meta-learners; and generating a final prediction, by an ensemble learner, based on the combined local predictions. |
| 地址 |
US |
