Instance Selection: The process of selecting a subset of representative data points from a larger dataset to improve the efficiency and accuracy of machine learning models.

Catalog description: Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and ...

Future AI algorithms have potential to learn like humans New study measures effectiveness of machine learning method Date: July 20, 2023 Source: Ohio State University Summary: Memories can be as ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...