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18 — metódy v tejto rodine.
Vybrané
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 biBlock Bootstrap (Moving Block a Stationary)Block bootstrap is a resampling method for dependent, autocorrelated time-series data: instead of resampling single observations, it resamples whole blocks of consecutive observatiBootstrap inferenciaBootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requireBootstrap SimulationBootstrap 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
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Všetky metódy 18
Bagging (Bootstrap Aggregating)Bagging EnsembleBCa Bootstrap (Bias-Corrected and Accelerated)Block Bootstrap (Moving Block a Stationary)Bootstrap inferenciaBootstrap SimulationDvojitý (iterovaný) bootstrapAlgoritmus EMEnsemble Linear RegressionOdhad pomocou metódy jackknifeAnalýza mediácieViacnásobné imputácieOnline BaggingParametrický bootstrapTest permutáciou (randomizačný test)Robustné zastrešovanie (Robust Bagging)Samoučenie Naive BayesPolosupervidované bagging