Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

The prevention of osteoarthritis through controlling body measurements has received increasing attention in recent years, but the relationship between lean body mass (LBM) and osteoarthritis remains ...

we pioneer the application of the variational quantum linear solver (VQLS) to the NEGF problem, addressing the challenges associated with handling complex numbers inherent in quantum transport ...

Abstract: This paper investigates the adaptive optimal output regulation of completely unknown linear time-invariant systems. First, a dynamic state feedback control policy with assured convergence ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

This implementation follows the scikit-learn API design and can be used as a drop-in replacement for other scikit-learn linear models. Zou, H. (2006). The adaptive lasso and its oracle properties.

In the last decade, the use of AI in Condensed Matter physics has seen a steep increase in the number of problems tackled and methods employed. A number of distinct Machine Learning approaches have ...

The MELPe algorithm was developed using several enhancements to the original MELP 2400 bps specification. MELPe implements a variable low bit rate vocoder that supports multiple rates of 600 bps, 1200 ...