File:RelativeRankLearning2.pdf
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Expected values of applicants based on their relative rank (out of m total applicants seen so far) at various points in the search, for the case when their values are uniformly distributed between 0 and 1.
Summary
[edit]| Description |
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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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| 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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