Cargando…
F-Ratio Test and Hypothesis Weighting: A Methodology to Optimize Feature Vector Size
Reducing a feature vector to an optimized dimensionality is a common problem in biomedical signal analysis. This analysis retrieves the characteristics of the time series and its associated measures with an adequate methodology followed by an appropriate statistical assessment of these measures (e.g...
Autores principales: | Dünki, R. M., Dressel, M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3159304/ https://www.ncbi.nlm.nih.gov/pubmed/21869885 http://dx.doi.org/10.1155/2011/290617 |
Ejemplares similares
-
Experimental test of the partially conserved axial-vector-current hypothesis
por: Bonetti, S, et al.
Publicado: (1969) -
The cost of large numbers of hypothesis tests on power, effect size and sample size
por: Lazzeroni, L C, et al.
Publicado: (2012) -
Sample Size Reassessment and Hypothesis Testing in Adaptive Survival Trials
por: Magirr, Dominic, et al.
Publicado: (2016) -
Priors, population sizes, and power in genome-wide hypothesis tests
por: Cai, Jitong, et al.
Publicado: (2023) -
Tests of the conserved vector current and partially-conserved axial vector current hypothesis in high-energy neutrino reactions
por: Adler, S
Publicado: (1965)