Learning in the Absence of Training Data

by Dalia Chakrabarty

This book introduces the concept of "bespoke learning", a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generally provides information about the system's behaviour/structure, and the aim is to learn the input-output relationship, even though little to no information on the output is available, as in multiple real-world problems...

• Format: Hardcover
• Language: English
• ISBN: 3031310101
• ISBN13: 9783031310102
• Release Date: July 2023
• Publisher: Springer
• Length: 227 Pages
• Weight: 1.16 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"