Regression Tree and Automatic Linear Modeling Techniques were applied this data set to determine the factors affecting grade success of university students and estimate the grade success. SPSS (ver 22 ...

We introduce a highly efficient online nonlinear regression algorithm. We process the data in a truly online manner such that no storage is needed, i.e., the data is discarded after used. For ...

It is extremely difficult for users to determine the correct partition scheme and non-linear model when there is no prior information. To address this issue, we proposed piece-wise non-linear ...

Interconnected microwave dielectric sensing nodes have the potential to revolutionize microwave material processing and design, where microwave dielectric materials characterization (MDMC) with high ...

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 ...

Dollar Tree (DLTR) shares are falling early Wednesday. The discount retailer posted better-than-expected first quarter results, but its Q2 outlook disappointed investors. In the video above, Yahoo ...

Studying a decision in archerfish reveals an impressive potential of learning capacities and cognitive aspects that are unexpected for decisions made at reflex speed.

Predicting an individual’s behaviour in one task based on their behaviour in a different task is a key challenge in modeling individual decision-making tendencies. We ...

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 ...

Small test to compare Direct Analysis Method (DAM AISC 360 and Linear Analysis Action: • DAM: Accounts for geometric nonlinearity (both large P-Delta and small P-delta effects), reduction in ...