Description and examples of linear regression/multiple linear regression implementation in MATLAB, Python, and R I used the same data set (Linear_regression_data.txt) across MATLAB, Python, and R to ...

MAE stands for mean absolute error, which is a measure of how close your predictions are to the actual values in a regression problem. It is calculated by taking the average of the absolute ...

Please see the ./presentation folder for detailed discussion of the methods used (as jupyter notebooks). In particular the ./presentation/Notebooks as Notes.ipynb notebook introduces concepts of least ...

Journal reference Neurocomputing, Elsevier, 2016, Advances in artificial neural networks, machine learning and computational intelligence - Selected papers from the 23rd European Symposium on ...

Multiplicative regression model or accelerated failure time model, which becomes linear regression model after logarithmic transformation, is useful in analyzing data with positive responses, such as ...

In this paper, we exploit the properties of mean absolute error (MAE) as a loss function for the deep neural network (DNN) based vector-to-vector regression. The goal of this work is two-fold: (i) ...

In this paper, we propose two estimating equation-based methods for estimating the regression parameter vector in a multiplicative regression model when a subset of covariates is subject to a ...

Speech enhancement experiments are conducted to corroborate our proposed theorems and validate the performance advantages of MAE over MSE for DNN based regression.