Mean Absolute Error
Sample Based Trip Length Distribution Quality based on χ^2 and Mean Absolute Error Value
... Abstract As a vital part of transport modeling, the trip length distribution is normally gotten from a sample. In order to get a good model, a method to test the quality of the sample based trip length distribution ...
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Morphological filter mean-absolute-error representation theorems and their application to optimal morphological filter design
... OPTIMAL GRAY-SCALE MORPHOLOGICAL FILTERS 3.1: Review of 3.2: Review of the Gray-Scale Morphological 73 74 Filtering Gray-Scale Optimal Morphological Estimation Paradigm 76 3.3: Gray-Scal[r] ...
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Snapshot Imaging Laser Displacement Sensor for Hypersonic Diagnostic Testing.
... The first test images only the fringes. This is important to make sure the Fourier phase displacement algorithm is accurate in measuring micron displacement on its own. For this setup, a blank object is used with ...
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The Implementation of Forecasting Method by Incorporating Human Judgment
... forecasting error method that is used in this research is Mean Absolute Error (MAE), Mean Square Error (MSE), and Standard Deviation error ...forecasting error ...
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AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan
... Root Mean Square Error [RMSE], Mean Absolute Error [MAE], Correlation Coeffi- cient [Corr] and Coefficient of Determination [R 2 ...
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“MODELING AND FORECASTING OF THE STOCK MARKET VOLATILITY OF S&P CNX NIFTY 50 INDEX OF INDIA USING GARCH FAMILY MODELS”
... Root Mean Squared Error (RMSE), the Mean Absolute Error (MAE), the Mean Absolute Percent Error (MAPE) and the Theil Inequality Coefficient ...
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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... like Mean Square Error, Mean Absolute Error, Sum Square Error and Root Mean Square Error are used to access the ...
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NARCCAP Model Skill and Bias for the Southeast United States
... and mean precipitation during a historical reference period, ...square error or mean absolute error, because several models overestimated the frequency of extreme precipi- tation ...
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Call option price function in Bernstein polynomial basis with no arbitrage inequality constraints
... Table 1 Root mean square error RMSE, mean absolute error MAE, and percentage relative mean error PRME of the estimated call option price function Price and the implied volatility functio[r] ...
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High Density Impulse Noise Removal in Color Images Using Region of Interest Median Controlled Adaptive Recursive Weighted Median Filter
... of Mean Square Error (MSE), Mean Absolute Error (MAE) and Peak Signal to Noise Ratio (PSNR) and it is compared with standard median filters, weighted median filters, center weighted ...
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Automated quantification of steatosis: agreement with stereological point counting
... approaches. One method incorporated a new approach to improve the robustness to image variability. Results: The new method showed the strongest agreement with the expert. At 20× resolution, it reproduced steatosis area ...
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IMAGE SEGMENTATION USING FUZZY CLUSTERING ALGORITHM
... This section explains the result obtained after performing FCM and KWFCM on the satellite images. For comparing the performance of the algorithm, we used an experimental database which consists of 30 satellite images and ...
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Volume 3, Issue 3, March 2014 Page 365
... forecast error which is the difference between the actual value and forecast value for the corresponding ...are Mean Absolute Error (MAE), Mean Absolute Percentage Error ...
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The GMDH model and its application to forecating of rice yields
... The performances of the each model for both the training data and forecasting data are evaluated and is selected according to the mean absolute error (MAE) and ro[r] ...
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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier
... as Mean Absolute Logarithmic Error (MALE), Root Mean Square Logarithmic Error (RMSLE), Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) ...
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Soil Thermal Diffusivity of a Gleyic Solonetz Soil Estimated by Different Methods in the Brazilian Pantanal
... Using the soil thermal diffusivity estimated by ampli- tude method as reference was computed mean absolute error-MAE and the root mean squared error-RMSE be- tween phase methods, ...
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DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... One of the important and crucial tasks of image analysis is to derive significant features of the images. The gray level co-occurrence matrix (GLCM) and its features derived by Haralick are widely known for texture ...
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A Comparative Study in Predicting Colon Rectum Cancer using Auto Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) Models
... the Mean Absolute Error (MAE), Mean Square Error (MSE), Mean Absolute Percentage Error (MAPE) and Root Mean Square Error(RMSE) are obtained to ...
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... B. Mean Absolute Error: The measure of the Mean Absolute Error of the education dataset for Decision trees classifier techniques is shown below with graph according to the Table ...
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An Empirical Study on Mushroom Disease Diagnosis:A Data Mining Approach
... of error rate ...of error rates namely Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Relative Absolute Error (RAE), Root Relative Squared ...
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