model-independent analysis method
A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent Component Analysis
... variable model of data and briefly reviews the ICA data ...density model [19] for cluster identification is utilised as the non-linear term for the developed ...a method of separating arbitrary ...
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ABSTRACT: Independent component analysis is a new method of blind source separation, which processes
... ABSTRACT: Independent component analysis is a new method of blind source separation, which processes object is a set of mixed signal source independent by linear combination ...dynamic ...
5
Appropriation of the ‘Witch’ Stigma as White Women's Self-Empowerment
... the analysis of current status data, the PH model and the generalized odds rate hazards (GORH) model, were applied to the same data ...PH model is one of the most widely used model to ...
111
EEMD-Based cICA method for single-channel signal separation and fault feature extraction of gearbox
... Constrained independent component analysis (cICA) [6, 7] method is derived from independent component analysis (ICA) ...ICA model output is a necessarily desired ...
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Estimating myocardial perfusion from dynamic contrast enhanced CMR with a model independent deconvolution method
... using model-inde- pendent analysis are dependent on the choice of the regu- larization weight parameter, which increases nonlinearly to handle large decreases in the CNR of the measured tis- sue enhancement ...
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Applied Psychometrics: The 3 Faced Construct Validation Method, a Routine for Evaluating a Factor Structure
... basic Independent Clusters Model of Confirmatory Factor Analysis that posits all items have zero factor loadings on all other factors except the one they are intended to measure (McDonald, 1985; ...
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Solution of a Vaccination Based SIR Epidemic Model by Homotopy Analysis Method
... ( − q L ϕ t q − yo t − qhH t N ϕ t q = (13) where H(t) is the auxiliary function independent of q and we have the great freedom to choose it. Now the modified equation (13) is our zero order deformation equation. ...
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Imputation and Dynamic Models in Semiparametric Survival Analysis.
... of model based on full likelihood approach, and build more rigorous theoretical justifications for large sample property using Martingale ...the method, assuming frailty as a non-homogeneous Poisson process ...
121
Analysis of novel geometry-independent method for dialysis access pressure-flow monitoring
... measurable flow rates using the adjustable non-pulsatile roller pump, the Gilmont flow meter calibrated to ensure the accuracy of simulated dialysis pump speeds ranging from 0 to 500 mL/min, and an S-110 digital flow ...
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Bayesian Analysis of Non-normal and Non-independent Mixed Model UsingSkew-Normal/Independent Distributions
... The data used in this study were from a longitudinal historical study that conducted on all employed workers of Isfahan’s Mobarakeh Steel Company in Iran between 1997 and 2011. A total of 574 workers participated in this ...
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A MATHEMATICAL APPROACH FOR FORMULATION OF GENERALIZED FIELD DATA BASED MODEL FOR PRODUCTIVITY ENHANCEMENT OF CYLINDER HEAD MOULDING OPERATION
... The process variables, their symbols, and dimensions are listed in Table (1) along with nomenclature of various parameters involved in this activity as independent and dependent physical quantities/parameters. ...
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Watermark Detection and Extraction Using Independent Component Analysis Method
... The robust batch algorithm is presented in this section, where the source signals are modeled as an autoregressive (AR) process [10]. Hence, the algorithm will be an effective blind separation approach particularly for ...
13
Development of Human Resource Assessment and Selection Model for Computer System Design
... Human resource is the most critical resource that significantly determines the effectiveness of any organization that ensures the successful functioning of the organization. Humans are important resources for the ...
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The extent of participation of workers in decision-making and its impact on employee empowerment in public community colleges
... This study adopted for the purpose of achieving its objectives, the descriptive research methodology, where a literature survey has been conducted on the subject of the study in Arabic and English, taking advantage of ...
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A CRITICAL APPRAISAL OF RISK MANAGEMENT STRATEGIES OF MICROFINANCE INSTITUTIONS IN GHANA
... Numerical Analysis/Scientific Computing; Object Oriented Programming; Operating Systems; Programming Languages; Robotics; Symbolic & Formal Logic; Web Design and emerging paradigms in allied ...
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Voltage Flicker Analysis Based on Improved Independent Component Analysis
... traditional independent component analysis uses Newton method to optimize its cost function, so it always falls into local optimal ...on independent component analysis, this paper uses ...
5
An Analog Circuit Diagnosis Method Based on Adaptive-Kernel ICA
... diagnosis method based on an adaptive kernel function is ...extraction method based on AMK-ICA technology is presented to lower the dimension of the ...the method can effectively improve the samples ...
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A Language Independent Method for Question Classification
... is question analysis, since it can provide useful clues for identifying potential answers in a large collection of texts. For instance, Question Clas- sification is concerned with assigning semantic classes to ...
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Bayesian Count Data Modeling for Finding Technological Sustainability
... study on new patent analysis method based on count data model and Bayesian regression analysis.. 13.[r] ...
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Analysis of Arsenic from water by Spectrophotometric method
... molybdate and CR reagents to produce molybdenum blue complex. The absorbance of molybdenum blue complex at the wave length of λ = 878nm has been used for arsenic determination. The LOD and LOQ of the method are 2 ...
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