VentureBeat

Understanding dimensionality reduction in machine learning models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Machine learning algorithms have gained fame for being able to ferret out ...
CMS Wire

Dimension Reduction: Preparing Marketing Data For Efficient Machine Learning

Marketers must be deliberate when adding dimensions to a machine learning model. The cost of adding too many is accuracy. Decluttering fever is sweeping the country thanks to Marie Kondo. But clutter ...
ascopubs.org

Interrogating machine learning classifiers and dimensionality reduction techniques for radiomic prediction of glioma tumor grade.

Meningioma: Association of mean and "hot spot" MIB1 with grade. This is an ASCO Meeting Abstract from the 2018 ASCO Annual Meeting I. This abstract does not include a full text component.
JSTOR Daily

Dimensionality reduction methods for machine translation quality estimation

Quality estimation (QE) for machine translation is usually addressed as a regression problem where a learning model is used to predict a quality score from a (usually highly-redundant) set of features ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

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 ...