Biological underpinnings for lifelong learning machines.

Dhireesha Kudithipudi Mario Aguilar-Simon Jonathan Babb Maxim Bazhenov Douglas Blackiston Josh C. Bongard Andrew P. Brna Suraj Chakravarthi Raja Nick Cheney Jeff Clune Anurag Reddy Daram Stefano Fusi Peter Helfer Leslie Kay Nicholas Ketz Zsolt Kira Soheil Kolouri Jeffrey L. Krichmar Sam Kriegman Michael Levin Sandeep Madireddy Santosh Manicka Ali Marjaninejad Bruce McNaughton Risto Miikkulainen Zaneta Navratilova Tej Pandit Alice Parker Praveen K. Pilly Sebastian Risi Terrence J. Sejnowski Andrea Soltoggio Nicholas Soures Andreas S. Tolias Darío Urbina-Meléndez Francisco J. Valero Cuevas Gido M. van de Ven Joshua T. Vogelstein Felix Wang Ron Weiss Angel Yanguas-Gil Xinyun Zou Hava T. Siegelmann

Published in: Nat. Mach. Intell. (2022)

Keyphrases

learning machines
support vector
ensemble learning
training algorithm
model selection
vc dimension
learning tasks
learning algorithm
support vector machine
generalization error
sample complexity
upper bound
data sets
back propagation
cross validation
learning problems
pattern recognition
feature selection