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 ...

Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed ... This paper delves into an efficient 2D DOA estimation approach, providing specific estimation formulas using ...

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...

Abstract: 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 ...

In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR ... The general equation presented lower R 2 ...