Error measure for traffic prediction for increasing search agents–(a) MAPE and (b) RMSE.</p
<p>Square symbols represent mean hit rates and circles represent mean false alarm rates. Error bars ...
<p>Mean absolute metric error (±1 standard error) for the poor navigators, plotted separately for th...
<p>Error measures (mean values and standard errors) for the evaluation of the classification. Best r...
Error measure for traffic prediction for proposed SVR–x–GWO-BES and SVR–x–GWO—MAPE and RMSE.</p
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Root mean square errors (RMSEopt–Column 2) across the 15 tracking markers between measure and simula...
Error-detection accuracy, detection time, and performance index for the cockpit task per group (mean...
<p>Prediction errors (predicted prevalence—observed prevalence) for the 143 observations in the pred...
<p>The models used include VARMA and SVR, whereas the features used include the raw social dynamics ...
Model estimation–predicting speeding tickets (standard errors in parentheses).</p
Predict potential traffic flow problems based on behavioural anomaliesPredict potential traffic flow...
<p>Prediction error percentages of PCA, Sparse LAP and LAP approaches of assigning individuals to th...
It is important for a retail company to forecast its sale in correct and accurate way to be ableto p...
<p>Comparison of traffic congestion prediction performance with different data aggregation levels.</...
Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
<p>Square symbols represent mean hit rates and circles represent mean false alarm rates. Error bars ...
<p>Mean absolute metric error (±1 standard error) for the poor navigators, plotted separately for th...
<p>Error measures (mean values and standard errors) for the evaluation of the classification. Best r...
Error measure for traffic prediction for proposed SVR–x–GWO-BES and SVR–x–GWO—MAPE and RMSE.</p
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Root mean square errors (RMSEopt–Column 2) across the 15 tracking markers between measure and simula...
Error-detection accuracy, detection time, and performance index for the cockpit task per group (mean...
<p>Prediction errors (predicted prevalence—observed prevalence) for the 143 observations in the pred...
<p>The models used include VARMA and SVR, whereas the features used include the raw social dynamics ...
Model estimation–predicting speeding tickets (standard errors in parentheses).</p
Predict potential traffic flow problems based on behavioural anomaliesPredict potential traffic flow...
<p>Prediction error percentages of PCA, Sparse LAP and LAP approaches of assigning individuals to th...
It is important for a retail company to forecast its sale in correct and accurate way to be ableto p...
<p>Comparison of traffic congestion prediction performance with different data aggregation levels.</...
Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
<p>Square symbols represent mean hit rates and circles represent mean false alarm rates. Error bars ...
<p>Mean absolute metric error (±1 standard error) for the poor navigators, plotted separately for th...
<p>Error measures (mean values and standard errors) for the evaluation of the classification. Best r...