For regression, y is real valued, L is the often squared loss (but not always; for example see Least Absolute Deviation regression) and w is the best linear fit to the data. For binary classification, y is binary, L is often the 0/1 loss and w is the best hyperplane separating the two sets of samples. Since the 0/1 loss is nonconvex, we often use convex upper bounds for the 0/1 loss examples of...

In this study, the motion estimation procedure is observed in view of a frame. In the thousands of blocks in a frame, some blocks can be well predicted using the motion estimation scheme, but some blocks can not. As considering the time efficiency, a good threshold can determine the most important portion of the computation in the motion estimation procedure for a frame. Based on the observatio...

Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error, and thus the MAE would be a better metric for that purpose. While some concerns over using RMSE raised by W...

Purpose: Proprioception is a part of the somatosensory system responsible for sending information to the central nervous system to monitor the status of various body parts relative to each another. One of the main causes of impaired proprioception is fatigue. In the following study, the effects of fatigue on quadriceps muscle and hence on knee proprioception in healthy subjects was studied.&nbs...

The optimum design of solar energy systems strongly depends on the accuracy of  solar radiation data. However, the availability of accurate solar radiation data is undermined by the high cost of measuring equipment or non-functional ones. This study developed a feed-forward backpropagation artificial neural network model for prediction of global solar radiation in Makurdi, Nigeria (7.7322  N lo...

The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model. Then, based on the research background, 35 affective financial and accounting variables are simultaneously used with t...