منابع مشابه
Nonlinear PCA: a new hierarchical approach
Traditionally, nonlinear principal component analysis (NLPCA) is seen as nonlinear generalization of the standard (linear) principal component analysis (PCA). So far, most of these generalizations rely on a symmetric type of learning. Here we propose an algorithm that extends PCA into NLPCA through a hierarchical type of learning. The hierarchical algorithm (h-NLPCA), like many versions of the ...
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Principal Component Analysis (PCA) has been applied for the feature extraction of high-dimensional data in pattern recognition. However, PCA does can not extract nonlinear characteristics of the datadistribution appropriately. In order to solve this problem, we have proposed a method of nonlinear PCA (NLPCA) which preserves the order of the principal components and we have implemented the NLPCA...
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A common misperception within the neural network community is that even with nonlinearities in their hidden layer, autoassociators trained with backpropagation are equivalent to linear methods such as principal component analysis (PCA). Our purpose is to demonstrate that nonlinear autoassociators actually behave differently from linear methods and that they can outperform these methods when use...
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the purpose of the present study was to investigate the latent pattern underlying reading ability . some 272 male and female participants. english majors at the ba level , participated in the study. two valid tests were used in this study, the reading test developed exclusively for the purpose of this project and academic reading section of ielts. to investigate the possible latent underlying...
15 صفحه اولFast cross-validation of high-breakdown resampling methods for PCA
Cross-validation (CV) is a very popular technique for model selection and model validation. The general procedure of leave-one-out CV is to exclude one observation from the data set, to construct the fit of the remaining observations and to evaluate that fit on the item that was left out. In classical procedures such as least-squares regression or kernel density estimation, easy formulas can be...
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ژورنال
عنوان ژورنال: Neural Processing Letters
سال: 2012
ISSN: 1370-4621,1573-773X
DOI: 10.1007/s11063-012-9220-6