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Tech Xplore on MSN2d
Bilinear sequence regression model shows why AI excels at learning from word sequences
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
IEEE28d
Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression Filtering Method for SEM Images
Combining these results lead to the proposed Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression (AO-GPRLLSR) Filtering pipeline. The AO-GPRLLSR method generated an ...
GitHub13d
A python library to build Model Trees with Linear Models at the leaves.
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 ...
SciELO23d
Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)
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 ...
IEEE15d
A linear discretization of the volume conductor boundary integral equation using analytically integrated elements (electrophysiology application)
The method is based on an approximation of a boundary integral equation as a set of linear algebraic equations. The potential is described as a piecewise linear or quadratic function. The matrix ...
GitHub14d
Package provides javascript implementation of linear regression and logistic regression
The sample code below illustrates how to run the logistic regression on the iris datsets to classify whether a data row belong to species Iris-virginica: ...