Looking at the three common types of regression algorithms that you really should know, Yelina reminds us that if you have at least taken at least a brief foray into developing machine learning ...

However, in practice, ordinal encoding for AdaBoost regression often works well. Understanding AdaBoost Regression There is very little solid information about the AdaBoost.R2 regression algorithm ...

Supervised learning also has regression algorithms such as Neural Networks Regression, decision trees regression, Ridge Regression, Support Vector Regression (SVR), Random Forest Regression ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

An efficient branch-and-bound algorithm for computing the best-subset regression models is proposed. The algorithm avoids the computation of the whole regression tree that generates all possible ...

The proposed estimators are easy to compute via standard quantile regression algorithms and a stepwise knot selection algorithm. The proposed Raoscore-type test that assesses the model against a ...