Abstract
Reporters obtained the following quote from the background information supplied by the inventors: “Machine learning generally involves using data about one set of items for which a property is known, such as classifications for the items, t o train a computational model that in turn can make predictions about what that property should be for other items, for which that property is not known. While there is a wide range of possible applications of this general concept of machin e learning, practical applications can be hard to implement for many reasons.”
NETL
NSTL