Additive smoothing
In statistics, additive smoothing, also called Laplace smoothing (not to be confused with Laplacian smoothing as used in image processing), or Lidstone smoothing, is a technique used to smooth categorical data. Given an observation from a multinomial distribution with trials, a "smoothed" version of the data gives the estimator:
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Bag-of-words modelBayesian averageBinomial proportion confidence intervalCatalog of articles in probability theoryCategorical distributionCromwell's ruleDirichlet distributionEdwin Bidwell WilsonFrequency (statistics)George James LidstoneGood–Turing frequency estimationJeffreys priorLaplace SmoothingLaplace smoothingLidstone smoothingList of statistics articlesMultiple sequence alignmentN-gramNaive Bayes classifierOutline of machine learningPierre-Simon LaplacePosition weight matrixPrediction by partial matchingPseudocountRule of successionSequence alignmentShrinkage (statistics)SmoothingSunrise problem
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Additive smoothing
In statistics, additive smoothing, also called Laplace smoothing (not to be confused with Laplacian smoothing as used in image processing), or Lidstone smoothing, is a technique used to smooth categorical data. Given an observation from a multinomial distribution with trials, a "smoothed" version of the data gives the estimator:
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In statistics, additive smooth ...... ters of Binomial distribution.
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يسمى التجانس المضاف في الإحصاء ...... ابق لمعلمات التوزيع ذي الحدين.
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October 2018
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In statistics, additive smooth ...... the data gives the estimator:
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يسمى التجانس المضاف في الإحصاء ...... د العينات في مجموعة الملاحظات.
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Additive smoothing
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التجانس المضاف
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