Feature selection or attribute reduction is an important data preprocessing technique for dimensionality reduction in machine learning and data mining. In this paper, a novel feature selection ...

This paper presents a novel framework for continual feature selection (CFS) in data preprocessing, particularly in the context of an open and dynamic environment where unknown classes may emerge. CFS ...

Learn what are irrelevant or redundant features, why and how to remove them, and how to evaluate the impact on data quality and model performance.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By ...

The Selection Trial 3 & 4 will cover all Olympic Rifle and Pistol events and will be limited to a select group of top-ranked shooters.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Sify’s AI-ready hyperscale data centers are designed with a security-first philosophy, where every point of access, movement, and interaction is rigorously controlled, monitored, and audited.

CNBC Select reviewed investing apps that cover a range of users' investment styles, from micro-investing to active stock trading.