Research map / Probabilistic and scientific modeling / Molecules and proteins
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Learn separate instance-level structures and fuse them as a BKB rather than learning a variable-level BN | BKBSL versus GOBNILP BN · 40 benchmark datasets | data MDL | Helped |
| Use instantiation-level BKB structure learning instead of BN structure learning | BKBSL versus GOBNILP BN · 22 benchmark datasets, 10-fold cross-validation | precision: 63% | Mixed |
| Use instantiation-level BKB structure learning instead of BN structure learning | BKBSL versus GOBNILP BN · 22 benchmark datasets, 10-fold cross-validation | overall accuracy performance: χ = 1.0, p-value = 0.3173 | No clear effect |
| Decompose learning by unique training world and avoid computing complete CPTs | BKBSL versus BNSL · 40 benchmark datasets | joint probability calculator calls | Helped |
| Learn and fuse instance-level inference fragments | BKBSL · TCGA breast cancer | literature-supported cyclic associations: 12 cyclic relationships; four supported in the literature | Helped |
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