Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

With limited capacity, how should decision-makers decide who gets in? Zhiqiang Zhang: Today, many admission decisions for ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...