A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled ...

A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.

A machine learning framework combining random forest prediction, neural network defect screening, and evolutionary ...

Finding relationships among data is an important skill for any business professional. Understanding cause-and-effect relationships can be the critical factor when it comes to wasted time, lost profits ...

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...

Relying on tainted, inherently biased data to make critical business decisions and formulate strategies is tantamount to building a house of cards. Yet, recognizing and neutralizing bias in machine ...