mean squared error value
An Empirical Study on Mushroom Disease Diagnosis:A Data Mining Approach
... same value without comparison of error rate ...of error rates namely Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error ...
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Choosing the group size for group testing to estimate a proportion
... The group size obtained by equating the absolute value of the influence of a group showing the trait with one not showing the trait provides an estimate with a smaller mean squared error[r] ...
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Hyperspectral Nonlinear Unmixing: Endmember Extracting Using Iterative Simplex CNN Method
... Abstract— Hyperspectral remote sensing images are showing rapid improvements in many domain such as weather, land cover classification, underwater species identification, exploring the space etc. Over the past decades ...
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A Novel Hybrid Method of Parameters Tuning in Support Vector Regression for Reliability Prediction: Particle Swarm Optimization Combined With Analytical Selection
... (10) where RMSE is the root mean squared error also used to describe the prediction accuracy in later sections, is the th reliability value, is its estimate, and is the size o[r] ...
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Theoretical analysis of errors when estimating snow distribution through point measurements
... The error is defined as the expected value of the squared difference between the real mean of the pro- file/field and the sample mean from a limited number of mea- ...
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Forecasting Spare Parts Demand Using Statistical Analysis
... least error value were ...the mean error (ME), the mean squared error (MSE) and mean absolute deviation ...root mean squared error (RMSE) is ...
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Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso
... This same value also represents the asymptotic minimizer of a weighted version of the MSE relative to the i-th block. In particular, the weights change with n, as they are defined by the singular values d (i) k,n ...
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Time Series Imputation via L1 Norm-Based Singular Spectrum Analysis
... In this paper, the performance of algorithms for imputation of one missing value are compared by means of the commonly applied accuracy measures of Root Mean Squared Error (RMSE) and Mea[r] ...
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A ROBUST FRAMEWORK TO DETECT MOVING VEHICLES IN DIFFERENT ROAD CONDITIONS IN INDIA
... Researchers and investors have been searching for accurate model to predict the stock value. An accurate model prediction could gain profits for investors. According to Indonesia Stock Exchange, stock is becoming ...
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Stock Return Predictability And Taylor Rules
... the mean squared prediction error comparison, we use the Bhattacharya-Matusita-Hellinger metric entropy developed by Bhattacharya (1943), Matusita (1955), and Hellinger (1909) to test for the generic ...
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Fault Classification with Artificial Neural Networks based on the Application of Teager Energy Operator
... In [3] current signals are used as input parameters in ANN training using Back Propagation algorithm for diagnosis of the fault in a distributed motor network. Different number of nodes where tested in network structure ...
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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... of error rate such as MALE, RMSLE, MAE and RMSE. These performance of error rate can be defined as follows: —Root Mean Squared Logarithmic Error ...
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Photovoltaic power forecasting with a rough set combination method
... Root Mean Squared Error (RMS-Error) between our predicted power every 15 minutes and the actual ...Root Mean Square Error (RMSE) is calculated as follows: ...
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A comparison of robust estimators in simple linear regression
... The bias and mean squared error (MSE) of the various estimators of slope, intercept, and mean response were estimated and compared in a simulation study.. All computing was done in Fortr[r] ...
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Computation of Earthquake Response via Fourier Amplitude Spectra
... the mean squared value of the elastic ...its mean value, spectrum of the mean squared value of the displacement is computed from the Fourier amplitude spectrum, and ...
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Big Data Log-Based Correlation Analysis Profiling Auto Generation Model
... This function is modeled to perform recommend system, the page rank value is evaluated and the profile is recommended measuring average error squared value based on the page[r] ...
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Bayesian forecasting of mortality rates by using latent Gaussian models
... the mean width of the prediction intervals and the mean interval ...the mean forecasts was assessed by using the root-mean-squared error of the predicted ...The mean width ...
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Modeling and Forecasting Volatility – How Reliable are modern day approaches?
... Figure 1: The first graph shows a histogram of the AEX returns plotted together with an empirical normal normal density. The second graph shows autocorrelations (ACF) of returns, absolute returns and squared ...
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Investigation of the Performance of different Spatial Filters toward Mammogram De-noising
... by Mean, Median, Wiener and Gaussian filters with the corresponding matrix sizes which provided optimal results for them as illustrated in ...an error sensitive metric, but not practical in identifying ...
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Rates of convergence of some estimators in a class of deconvolution problems
... Key Words and Phrases: Deconvolution, density estimation, mean squared error, measurement error, rates of convergence, uniform convergence.. 1 Work supported by NSF Grant DMS-86-13681A[r] ...
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