| 发明名称 |
GENERATING NEGATIVE CLASSIFIER DATA BASED ON POSITIVE CLASSIFIER DATA |
| 摘要 |
Examples relate to generating negative classifier data based on positive classifier data. In one example, a computing device may: obtain positive classifier data for a first class, the positive classifier data including at least one correlated feature set and, for each correlated feature set, a measure of likelihood that data matching the correlated feature set belongs to the first class; determine, for each feature included in the at least one correlated feature set, a de-correlated measure of likelihood that data including the feature belongs to the first class; and generate, based on each de-correlated measure of likelihood, negative classifier data for classifying data as belonging to a second class. |
| 申请公布号 |
US2017039484(A1) |
申请公布日期 |
2017.02.09 |
| 申请号 |
US201514821433 |
申请日期 |
2015.08.07 |
| 申请人 |
Hewlett-Packard Development Company, L.P. |
发明人 |
Niemczyk Brandon;Hagen Josiah |
| 分类号 |
G06N99/00;G06N7/00 |
主分类号 |
G06N99/00 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A non-transitory machine-readable storage medium encoded with instructions executable by a hardware processor of a computing device for generating negative classifier data based on positive classifier data, the machine-readable storage medium comprising instructions to cause the hardware processor to:
obtain positive classifier data for a first class, the positive classifier data including at least one correlated feature set and, for each correlated feature set, a measure of likelihood that data matching the correlated feature set belongs to the first class; determine, for each feature included in the at least one correlated feature set, a de-correlated measure of likelihood that data including the feature belongs to the first class; and generate, based on each de-correlated measure of likelihood, negative classifier data for classifying data as belonging to a second class. |
| 地址 |
Houston TX US |
