Name
Abstract | ||
|---|---|---|
•Novel active learning framework based on expectation-refinement sampling is presented.•It performs active learning with re-labeling for regression task with noisy annotator.•Exploration step selects unlabeled instance to be labeled next.•Refinement step labels again for labeled instance to improve label accuracy.•Experimental results demonstrate its effectiveness on benchmark datasets. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.08.032 | Expert Systems with Applications |
Keywords | Field | DocType |
Active learning,Re-labeling,Exploration-refinement sampling,Regression | Data mining,Noisy data,Active learning,Reduced cost,Regression,Computer science,Sampling (statistics),Artificial intelligence,Machine learning | Journal |
Volume | ISSN | Citations |
114 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 38 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngdoo Son | 1 | 10 | 3.17 |
| Seokho Kang | 2 | 10 | 7.90 |