File:RelativeRankLearning2.pdf
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DescriptionRelativeRankLearning2.pdf |
English: Learning in the partial-information sequential search paradigm. The numbers display the expected values of applicants based on their relative rank (out of m total applicants seen so far) at various points in the search. Expectations are calculated based on the case when their values are uniformly distributed between 0 and 1. Relative rank information allows the interviewer to more finely evaluate applicants as they accumulate more data points to compare them to. |
Date | |
Source | Own work |
Author | Wholewheat7 |
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current | 19:28, 18 March 2021 | 1,650 × 1,275 (263 KB) | Wholewheat7 (talk | contribs) | rotated to correct | |
19:22, 18 March 2021 | No thumbnail | 0 × 0 (262 KB) | Wholewheat7 (talk | contribs) | Uploaded own work with UploadWizard |
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Short title | RelativeRankLearning |
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Software used | Preview |
Conversion program | macOS Version 11.2.1 (Build 20D74) Quartz PDFContext, AppendMode 1.1 |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.3 |