Triple
T10038331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chernoff information |
E205228
|
entity |
| Predicate | comparedWith |
P278
|
FINISHED |
| Object |
Jensen–Shannon divergence
Jensen–Shannon divergence is a symmetrized and smoothed measure of dissimilarity between probability distributions, widely used in information theory and machine learning.
|
E837388
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca834f70e88190b2d74828b7767ec1 |
elicitation | completed |
| NER | batch_69cdcee04afc8190904704d66e23a432 |
ner | completed |
| NED1 | batch_69d282608d688190832c37442f53099a |
ned_source_triple | completed |
| NED2 | batch_69d2847c9bb881908a6330dfe2c2c1a4 |
ned_description | completed |
| NEDg | batch_69d2840bb2e881908a7e7a40229769e0 |
nedg | completed |
Created at: March 30, 2026, 8:55 p.m.