Privacy-preserving feature selection allows identifying more important features while ensuring data privacy, thus enhancing ...

Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.

The feature, announced at SXSW by co-CEO Gustav Söderström, lets Premium listeners see and shape the data model powering their recommendations, starting with a beta rollout in New Zealand For a decade ...

Abstract: An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna ...