Name
Title | ||
|---|---|---|
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification. |
Abstract | ||
|---|---|---|
The generalization ability of a classifier learned from a training set is usually dependent on the classifier's uncertainty, which is often described by the fuzziness of the classifier's outputs on the training set. Since the exact dependency relation between generalization and uncertainty of a classifier is quite complicated, it is difficult to clearly or explicitly express this relation in gener... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2017.2653223 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Training,Uncertainty,Mathematical model,Complexity theory,Cognition,Algorithm design and analysis,Indexes | Dependency relation,Algorithm design,Sensitivity analysis,Uncertainty analysis,Artificial intelligence,Problem complexity,Cognition,Statistical classification,Classifier (linguistics),Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 2 | 2168-2267 |
Citations | PageRank | References |
33 | 0.69 | 36 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xizhao Wang | 1 | 3593 | 166.16 |
| Ran Wang | 2 | 439 | 24.42 |
| Chen Xu | 3 | 112 | 15.26 |