This article discusses the use of information theory in machine learning applications, highlighting its importance in understanding and predicting the behavior of complex systems.…
Browsing: Information Theory
This article discusses the importance of causal inference in artificial intelligence and machine learning, and how information theory can be used to improve causal…
This article discusses the interconnected fields of neural networks, information theory, and learning theory and how they have revolutionized the development of artificial intelligence…
Information theory is a mathematical infrastructure to deal with manipulation of information and has a significant influence on the design of efficient and reliable…
This Special Issue focuses on the use and exploration of new technologies for Natural Language Processing (NLP)-related tasks, such as information extraction, information retrieval,…
This article discusses a research project at the University of Florida (UF) sponsored by the Naval Engineering Education Consortium (NEEC) grant. The project is…
This article discusses the use of Jensen Shannon divergence (JS Div) in drift monitoring for machine learning systems. It explains how this metric is…