Created by W.Langdon from gp-bibliography.bib Revision:1.8098
Energy cost versus accuracy tradeoff, eg for tanh, relu, logistic regression. Hidden layer size (only on glass dataset). Solver (high impact). Model size, esp for online inference (eg for IoT).
Video tB3IWHT4FT4 Alexander E.I. Brownlee.
15:14 Discussion chair: Yu Huang Q: Alexandre Bergel, A: Alexander E.I. Brownlee, pyRAPL easy.
16:01 Q: Westley Weimer, A: learning algorithm
14:34 W. B. Langdon A: pyRAPL v. nanoseconds v. Markus Wagner energy measurements in Joules. 19:00 Approximate computing
19:37 Yu Huang, A: python (SciKit Learn) v. Weka.
20:35 Yu Huang problems, A: noise. SE for AI.
part of \cite{Petke:2021:ICSEworkshop} http://geneticimprovementofsoftware.com/events/icse2021.html",
Genetic Programming entries for Alexander E I Brownlee Jason Adair Saemundur Oskar Haraldsson John Jabbo