Research map / Learning theory and algorithms / Clustering
Flexible Models for Microclustering with Application to Entity Resolution
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the NBD microclustering prior instead of the PYP mixture prior | Entity resolution model · Italy, δ = 0.02 | false negative rate: 0.07 -> 0.03 | Helped |
| Use the NBD microclustering prior instead of the PYP mixture prior | Entity resolution model · NLTCS5000, δ = 0.02 | false negative rate: 0.03 -> 0.01 | Helped |
| Use the NBD microclustering prior instead of the DP mixture prior | Entity resolution model · Syria2000, δ = 0.02 | false negative rate: 0.70 -> 0.67 | Helped |
| Use the NBD microclustering prior instead of the DP mixture prior | Entity resolution model · SyriaSizes, δ = 0.02 | false negative rate: 0.65 -> 0.68 | Hurt |
| Use a microclustering prior rather than an infinitely exchangeable mixture prior | Entity resolution model · Italy and NLTCS5000 | fit to data-set statistics | Helped |
| Use a microclustering prior rather than an infinitely exchangeable mixture prior | Entity resolution model · Syria2000 and SyriaSizes | fit to data-set statistics | No clear effect |
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