Prospective Learning: Principled Extrapolation to the Future.

Ashwin De Silva Rahul Ramesh Lyle H. Ungar Marshall G. Hussain Shuler Noah J. Cowan Michael Platt Chen Li Leyla Isik Seung-Eon Roh Adam Charles Archana Venkataraman Brian Caffo Javier J. How Justus M. Kebschull John W. Krakauer Maxim Bichuch Kaleab Alemayehu Kinfu Eva Yezerets Dinesh Jayaraman Jong M. Shin Soledad Villar Ian Phillips Carey E. Priebe Thomas Hartung Michael I. Miller Jayanta Dey Ningyuan Huang Eric Eaton Ralph Etienne-Cummings Elizabeth L. Ogburn Randal C. Burns Onyema Osuagwu Brett Mensh Alysson R. Muotri Julia Brown Chris White Weiwei Yang Andrei A. Rusu Timothy D. Verstynen Konrad P. Kording Pratik Chaudhari Joshua T. Vogelstein

Published in: CoLLAs (2023)

Keyphrases

learning process
learning systems
learning tasks
learning analytics
machine learning
learning algorithm
learning scheme
prior knowledge
learning problems
multi class
unsupervised learning
inductive inference
database
supervised learning
long term
support vector
decision making
data mining