triangulation

Known as: Cross Validation, cross-validation 
A statistical method of partitioning a sample of data into subsets such that the analysis is initially performed on a single subset, while the other… (More)
National Institutes of Health

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Highly Cited
2014
Highly Cited
2014
Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive… (More)
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Highly Cited
2009
Highly Cited
2009
Internal validation—A common approach is to split the dataset randomly into two parts (often 2:1), develop the model using the… (More)
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Highly Cited
2007
Highly Cited
2007
Classification procedures are some of the most widely used statistical methods in ecology. Random forests (RF) is a new and… (More)
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Highly Cited
2005
Highly Cited
2005
We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s… (More)
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Highly Cited
2002
Highly Cited
2002
Rates of molecular evolution vary widely between lineages, but quantification of how rates change has proven difficult. Recently… (More)
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Highly Cited
2001
Highly Cited
2001
BACKGROUND Prolongation of action potential duration (APD) is considered a major antiarrhythmic mechanism (class 2I), but… (More)
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Highly Cited
1998
Highly Cited
1998
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between… (More)
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Review
1996
Review
1996
Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use… (More)
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Highly Cited
1994
Highly Cited
1994
WEKA is a workbench for machine learning that is intended to aid in the application of machine learning techniques to a variety… (More)
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Highly Cited
1992
Highly Cited
1992
THE determination of macromolecular structure by crystallography involves fitting atomic models to the observed diffraction data1… (More)
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