In the realm of data analysis and machine learning, the abundance of information often comes hand in hand with the curse of high dimensionality. As datasets grow larger and more complex, the challenge ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
Sufficient dimension reduction often resorts to inverse regression, and most inverse regression methods rely on slicing a quantitative response. The choice of a particular slicing scheme is critical, ...
SAN DIEGO--(BUSINESS WIRE)--Scientist.com, the premier R&D marketplace for the biopharmaceutical industry, announced today that it has partnered with leading contract research organizations (CROs), ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback