The Foundations of Cost-Sensitive Learning¶
Elkan, C. (2001). The Foundations of Cost-Sensitive Learning. Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI), 973-978.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Majority-Dominated Aggregate Objective
- Cost-sensitive learning's toolkit — reweighting, threshold-tuning, focal loss — transfers into surveillance-allocation reasoning
This sourceShows how class and misclassification-cost weighting shifts the optimal decision threshold, formalizing cost-sensitive reweighting for skewed distributions.
- Cost-sensitive learning's toolkit — reweighting, threshold-tuning, focal loss — transfers into surveillance-allocation reasoning
Mechanisms¶
- Confusion Audit
- Reading the raw volume of a confusion rather than its consequence over-invests in frequent-but-harmless swaps.
This sourceShows that confusion types should be evaluated by expected consequence, not raw frequency alone.
- Reading the raw volume of a confusion rather than its consequence over-invests in frequent-but-harmless swaps.
Verification¶
Does it exist? Not confirmed. The DOI recorded for this work did not resolve when it was last checked, so it is shown above but not linked. The citation may still be sound; the recorded identifier is not. Flagged for repair.
Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Links previously used in the corpus¶
Before the registry existed this work was also linked 1 other way.
Registry ID ref:af2251395d8d · see in the full table