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Bootstrap aggregating, also called bagging (from bootstrap aggregating), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression.
The studentized bootstrap, also called bootstrap-t, is computed analogously to the standard confidence interval, but replaces the quantiles from the normal or student approximation by the quantiles from the bootstrap distribution of the Student's t-test (see Davison and Hinkley 1997, equ. 5.7 p. 194 and Efron and Tibshirani 1993 equ 12.22, p. 160):
Viewing minimal models and Liouville theory as perturbed free bosonic theories leads to the Coulomb gas method for computing their correlation functions. Moreover, for c = 1 , {\displaystyle c=1,} there is a one-parameter family of free bosonic theories with infinite discrete spectrums, which describe compactified free bosons , with the ...
Lynne Billard (born 1943) [1] is an Australian statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science.
The Ford SVT Mustang Cobra (also known as "SVT Mustang Cobra, SVT Cobra," or simply as "Cobra") is a pony car that was built by American automobile manufacturer Ford Motor Company's Special Vehicle Team division (or SVT) for the 1993 to 2004 model years.
Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...
Free for one website with up to 15 end-users. Requires a paid subscription or paid license for more features or more sites and users. [20] MoxieManager File and image management for TinyMCE. TinyMCE 6.x [21] and TinyMCE 5.x. [22] Requires a commercial TinyMCE subscription. [23] Only provided for self-hosted TinyMCE instances. [24]
The state-space model can be nonlinear and the initial state and noise distributions can take any form required. Particle filter techniques provide a well-established methodology [2] [4] [5] for generating samples from the required distribution without requiring assumptions about the state-space model or the state distributions. However, these ...