Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

This study introduces a novel and broadly applicable metric-phenological lag-to partition the effects of spring warming from other abiotic constraints on plant phenology. While the dataset is ...

This project consists of a deep dive on multiple linear regression (OLS) and its regularized variants ... or derive the update rule for Pathwise Coordinate Descent (the discrete optimization algorithm ...

A logarithm is the power which a certain number is raised to get another number. Find out more about this fascinating concept ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

NCoR1/RARα interaction was identified as a target for selective chaperone-mediated autophagy (CMA) inhibition in lung cancer.

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Abstract: A new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) $(\underline{\bf Y})$ ...