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 ...

A closed form solution to the stationary discrete-time linear filtering problem is obtained explicitly in terms of the system state-space matrices in the limiting singular case where the measurement ...

Recently, an adaptation of the balanced truncation method for model reduction of classical (non-quantum) linear systems has been proposed for the class of linear quantum stochastic systems that are ...

Quantum error‐correcting codes (QECCs) have emerged as a crucial instrument in the quest to realise reliable quantum information processing. These codes utilise sophisticated mathematical ...

Recent studies have focused on refining and expanding the repertoire of quantum error-correcting codes through innovative techniques that leverage classical linear code theory.

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 ...

The objectives of this work were to predict soil properties using pXRF data, comparing stepwise multiple linear regression (SMLR) and random forest (RF) methods, as well as mapping and validating soil ...

I had these errors before, but at that time I used the Q3 matrix and always thought that it was because the sum of the first three matrices was not equal to 1. After that, I used the Q4 matrix to take ...