NOTA TÉCNICA. Least squares regression with errors in both variables: case studies. Elcio Cruz de OliveiraI, *, #; Paula Fernandes de Aguiar II I Petrobras Transporte S.A., Avenida Presidente Vargas, ...

In this paper, the problem of computationally efficient design of finite impulse response Wiener filters with linear phase is considered. For stationary signals these filters are determined by the ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

Performing multiple logistic regression analysis on airline and customer data to predict the satisfaction. 🔵R. ... random-forest decision-trees datavisualization linearregression ...

The authors present some simplifications to the method of computing two-dimensional (2-D) linear prediction coefficients (LPCs) directly from image data using an extension of the multichannel Burg ...

The objectives of this work were to predict soil properties using pXRF data, comparing stepwise multiple linear regression (SMLR) and random forest (RF) methods, as well as mapping and validating soil ...