What is recorded here?
Searches a confidence threshold using labeled calibration data and binomial risk upper bounds to trade accepted-example coverage against selective error.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
General selective-prediction idea and binomial bounds are inherited. Source risk guarantee depends on its i.i.d./calibration and fixed-model/confidence/search setup, not arbitrary reuse or shift; no independent proof certification.
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People and systems
Yonatan Geifman; Ran El-Yaniv
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Selection with Guaranteed Risk for pretrained deep classifiers
Searches a confidence threshold using labeled calibration data and binomial risk upper bounds to trade accepted-example coverage against selective error.
Scientific scope
General selective-prediction idea and binomial bounds are inherited. Source risk guarantee depends on its i.i.d./calibration and fixed-model/confidence/search setup, not arbitrary reuse or shift; no independent proof certification.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yonatan Geifman; Ran El-Yaniv
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.