Resampling ja puuduvad andmed
18 meetodit selles perekonnas.
Esiletõstetud
Bagging (Bootstrap Aggregating)Bagging, short for Bootstrap Aggregating, is an ensemble meta-algorithm introduced by Leo Breiman in 1996 that trains multiple copies of a base learner on independently drawn bootsBagging EnsembleBagging, short for bootstrap aggregating, is an ensemble method that reduces variance by training multiple copies of a single learning algorithm on different random subsets of the BCa Bootstrap (Bias-Corrected and Accelerated)The BCa bootstrap is a resampling method, introduced by Bradley Efron in 1987, that produces more accurate confidence intervals than the plain percentile bootstrap by applying a biPlokk-bootstrapping (liikuv plokk ja statsionaarne)Block bootstrap is a resampling method for dependent, autocorrelated time-series data: instead of resampling single observations, it resamples whole blocks of consecutive observatiBootstrap-meetodistBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requireBootstrap-simulatsioonBootstrap simulation, introduced by Bradley Efron in 1979, is a simulation-based inference method that derives the sampling distribution of virtually any statistic by repeatedly re
Lugemisteekond
Selle teema enim viidatud alusmeetodid nende väljatöötamise järjekorras — koht, kust alustada, kui oled siin uus.
Kõik meetodid 18
Bagging (Bootstrap Aggregating)Bagging EnsembleBCa Bootstrap (Bias-Corrected and Accelerated)Plokk-bootstrapping (liikuv plokk ja statsionaarne)Bootstrap-meetodistBootstrap-simulatsioonTopelt (iteratiivne) bootstrapEM AlgorithmEnsemble lineaarregressioonJackknife'i taassalvestuse hinnangMediatsioonianalüüsMultiple ImputationOnline BaggingParameetriline BootstrapPermutatsioonitest (randomiseerimistest)Robustne kotletiseerimineIsejuhendatud Naive BayesPoolitud masinõppe (Semi-supervised Bagging)