Today’s most forward-thinking fintechs are flipping the script. Instead of scaling with people or piecemeal software, today’s ...

For each sample of real data, we applied three types of linear, stationary models to generate simulated data that retained certain statistical properties of the real data (Matsui et al., 2022; ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Industry executive Jay Krish is experimenting with large language models to help PMs monitor for risk.

Accurate estimation of parameters for Distribution Network Feeders (DNFs) is crucial yet quite challenging, especially with limited synchronized measurements. This letter introduces a novel Hybrid ...

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 ...

A linear actuator moves in a straight line. In simulators, these actuators push or pull parts of the seat or platform.

We demonstrate that large language models can be mapped to nearly-exact equivalent linear systems for any given input sequence, without modifying model weights or altering predictions. We achieve this ...

We fitted a linear model to the residual activity of reversal probability and choice and found that they were strongly negatively correlated (i.e., negative slope in Fig.7F)) ... To define network ...

The single-subject analyses of the brain data were performed in native space using a General Linear model (GLM) approach. The design matrices for each subject comprised eight runs in total, each ...