Terminology. • The labeled data the algorithm is given is called training data. • Data that the algorithm will label is called test data.
Links Category: Machine Learning
Machine Learning in Adversarial RF Environments – IEEE Xplore
With more and more autonomous deploy- ments of wireless networks, accurate knowledge of the RF environment is becoming indispensable.
Machine Learning and Mobile Phone Data Can Improve the …
Isabel Onate Falomir, Shikhar Mehra, Suraj Nair, Adrian Dar Serapio, Nathaniel Ver Steeg, and. Rachel Warren provided invaluable research assistance on this …
Applications of machine learning to diagnosis and treatment of …
First described in 1955 by John McCarthy as “the sci- ence and engineering of making intelligent machines”1, artificial intelligence (AI) is a field of …
A Review of Using Machine Learning Approaches for … – jstor
ABSTRACT: In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI …
Machine Learning for Evaluating and Improving Theories
We summarize our recent work that uses machine learning techniques as a complement to theoret- ical modeling, rather than a substitute for it.
The Machine Learning Journey
When deployed with the right strategies, machine learning can increase agility, streamline processes, boost revenue by creating new products and.
The State of AI and Machine Learning – Appen
In our 7th edition of the annual State of AI report, we continue to explore the strategies employed by companies large and small in successfully deploying …
A MACHINE LEARNING ONTOLOGY – OSF
This paper describes the creation of an ontology to represent the knowledge around the Machine. Learning discipline. Protégé 5 was used, which produces …
What Does Machine Learning Mean for the Life Insurance …
State of the Life Insurance Industry. How Are We Evaluating Risk Today? Can We “Amazon-ify” the Life Market? Exploring Possible Applications of Machine …