Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Each of our versions of reality is changing with AI. This could erode our ability to agree on basic facts or navigate shared challenges.

Node duplication is a technique that makes layouts with improved readability possible by reducing edge crossings and shortening edge lengths in drawn diagrams. In this article, we propose an approach ...

Traditional machine learning models, such as SVM and Naive Bayes, depend on manual feature engineering, which limits their ability to effectively capture complex patterns and deep features within text ...

Such machine learning approaches provide an efficient and scalable framework for accelerating the discovery of dielectric materials, significantly shortening the research cycle, and enhancing the ...

Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn the optimal ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...