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Behaviour of resampling methods under different weighting schemes, measures and variable resampling strengths
(Wiley Blackwell Publishing, Inc, 2010-02)
We compared general behaviour trends of resampling methods (bootstrap, bootstrap with Poisson distribution, jackknife, and jackknife with symmetric resampling) and different ways to summarize the results for resampling ...
Empirical Evaluation Of Resampling Procedures For Optimising Svm Hyperparameters
(Microtome PublBrookline, 2017)
Financial Modeling Using Sampling-Importance ResamplingFinancial Modeling Using Sampling-Importance Resampling
(Sociedade Brasileira de Econometria, 1998)
Classification of ASR Word Hypotheses using prosodic information and resampling of training data
(Planta Piloto de Ingeniería Química, 2013-07)
In this work, we propose a novel re-sampling method based on word lattice information and we use prosodic cues with support vector machines for classification. The idea is to consider word recognition as a two-class ...
The Impact of Unstable Taxa in Coelurosaurian Phylogeny and Resampling Support Measures for Parsimony Analyses
(American Museum of Natural History, 2020-08)
Paleontological datasets often have large amounts of missing entries that result in multiple mostparsimonious trees. Highly incomplete and conflictive taxa produce a collapsed strict consensus andseveral methods have been ...
Improvements to resampling measures of group support
(Wiley Blackwell Publishing, Inc, 2003-12)
Several aspects of current resampling methods to assess group support are reviewed. When the characters have different prior weights or some state transformation costs are different, the frequencies under either bootstrapping ...
Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition
(AEPIA, 2009-12)
A face recognition (FR) problem involves the face detection, representation and classification steps. Once a face is located in an image, it has to be represented through a feature extraction process, for later performing ...
Robust bootstrap: an alternative to bootstrapping robust estimators
(Instituto Nacional de Estatística, 2014-06)
There is a vast literature on robust estimators, but in some situations it is still not easy to make inferences, such as confidence regions and hypothesis testing. This is mainly due to the following facts. On one hand, ...
Post-processing of sequential indicator simulation realizations for modeling geologic bodies
(Springer, 2015-02-01)
Sequential indicator simulation realizations contain unavoidable artifacts that are geologically unrealistic. This happens because unlikely types can be drawn randomly from the cumulative distribution and be assigned to a ...
Intervalo de credibilidade para intensidade de tráfico em filas M/M/s utilizando o algoritmo amostragem-reamostragem por importância (SIR)
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICACurso de Especialização em EstatísticaUFMG, 2022-02-11)
One of the major research interests in queuing theory is to study the performance characteristics of the queues, such as the traffic intensity. This paper aims to detail the methodology for obtaining the credibility interval ...