نتایج جستجو برای: a principal component analysis pca also known as empirical orthogonal function
تعداد نتایج: 14888516 فیلتر نتایج به سال:
nowadays enhancing critical thinking in learners is considered one of the foreign language teachers’ tasks due to its high position in foreign language classrooms. when it comes to selecting materials for language classrooms, there are obviously some criteria that teachers should apply. the present study aimed at a critical thinking based analysis of ten picture story books and ten folktales th...
Credibility assessment screening by a small system and receiving optimum result in minimum time is a basic need in critical gates. Therefore the aim of this research is automatic detection of stress in guilty persons through skin conductance response and photoplethysmograph signals which are convenient and ease-of-use sensors .In this paper, a set of database with interview protocol (including ...
Financial market dynamics forecasting has long been a focus of economic research. A stochastic time effective function neural network (STNN) with principal component analysis (PCA) developed for financial time series prediction is presented in the present work. In the training modeling, we first use the approach of PCA to extract the principal components from the input data, then integrate the ...
the aim of this study was to propose a method for improving the power of recognition and classification of thromboembolic syndrome based on the analysis of gene expression data using artificial neural networks. the studied method was performed on a dataset which contained data about 117 patients admitted to a hospital in durham in 2009. of all the studied patients, 66 patients were suffering ...
an ideal fusion method preserves the spectral information in fused image without spatial distortion. the pca is believed to be a well-known pan-sharpening approach and being widely used for its efficiency and high spatial resolution. however, it can distort the spectral characteristics of multispectral images. the current paper tries to present a new fusion method based on the same concept. in ...
a professional is someone whose work involves performing a certain function with some degree of expertise. but a narrower definition limits the term to apply to people such as teachers and doctors, whose expertise involves not only skill and knowledge but also the exercise of highly sophisticated judgment, and whose accreditation necessitates extensive study, often university-based as well as p...
In many multivariate time series, the correlation structure is nonstationary, that is, it changes over time. The correlation structure may also change as a function of other cofactors, for example, the identity of the subject in biomedical data. A fundamental approach for the analysis of such data is to estimate the correlation structure (connectivities) separately in short time windows or for ...
A complete Bayesian framework for Principal Component Analysis (PCA) is proposed in this paper. Previous model-based approaches to PCA were usually based on a factor analysis model with isotropic Gaussian noise. This model does not impose orthogonality constraints, contrary to PCA. In this paper, we propose a new model with orthogonality restrictions, and develop its approximate Bayesian soluti...
Abstract In this paper we develop a method to quantify the accuracy of different pattern extraction techniques for additive space–time modes often assumed be present in climate data. It has previously been shown that standard technique principal component analysis (PCA; also known as empirical orthogonal functions) may extract patterns are not physically meaningful. Here analyze two modern meth...
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