File:Stability increase function approximation.jpg: Difference between revisions
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Approximating the SInc[] matrix with the best-fit function used by default in SuperMemo to compute the increase in stability (e.g. in cases of lack of data). The approximation procedure uses a hill-climbing algorithm with parameters A, B, C, D displayed i |
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Approximating the SInc[] matrix with the best-fit function used by default in SuperMemo to compute the increase in stability (e.g. in cases of lack of data). The approximation procedure uses a hill-climbing algorithm with parameters A, B, C, D displayed in the picture. Least squares deviation is obtained to | <blockquote> | ||
'''''Figure:''' Approximating the [[Glossary:Stability_increase_matrix|SInc[] matrix]] with the best-fit function used by default in SuperMemo to compute the increase in [[Glossary:Stability|stability]] (e.g. in cases of lack of data). The approximation procedure uses a [https://en.wikipedia.org/wiki/Hill_climbing hill-climbing algorithm] with parameters '''A''', '''B''', '''C''', '''D''' displayed in the picture. Least squares deviation is obtained to assess the progress. <span style="padding: 3px; background-color: lime;">Green circles</span> represent the [[Glossary:Stability_increase_matrix|Sinc[] matrix]] at a chosen [[Glossary:Difficulty|difficulty level]]. Their size corresponds with repetition cases investigated. The <span style="padding: 3px; color: #FFF; background-color: blue;">blue surface</span> is the best fit of the studied function to the SInc[] data.'' | |||
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Latest revision as of 07:11, 20 April 2021
Figure: Approximating the SInc[] matrix with the best-fit function used by default in SuperMemo to compute the increase in stability (e.g. in cases of lack of data). The approximation procedure uses a hill-climbing algorithm with parameters A, B, C, D displayed in the picture. Least squares deviation is obtained to assess the progress. Green circles represent the Sinc[] matrix at a chosen difficulty level. Their size corresponds with repetition cases investigated. The blue surface is the best fit of the studied function to the SInc[] data.
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| current | 12:59, 26 April 2016 | 1,920 × 1,200 (338 KB) | SuperMemoHelp (talk | contribs) | Approximating the SInc[] matrix with the best-fit function used by default in SuperMemo to compute the increase in stability (e.g. in cases of lack of data). The approximation procedure uses a hill-climbing algorithm with parameters A, B, C, D displayed i |
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