An empirical demonstration of the no free lunch theorem

DOI10.13164/ma.2019.11zbMath1453.62273OpenAlexW3003595230MaRDI QIDQ5132871

Ernest Fokoué, Ezekiel Adebayo Ogundepo

Publication date: 12 November 2020

Published in: Mathematics for Application (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.13164/ma.2019.11

zbMATH Keywords

datasetpredictive performancegeneralizationfunction spaceBayes riskdata sciencestatistical learningscore functionlearning machineempirical evidenceno free lunch theorem (NFLT)random split

Mathematics Subject Classification ID

Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01) Learning and adaptive systems in artificial intelligence (68T05) Statistical ranking and selection procedures (62F07)

Related Items (1)

On some similarities and differences between deep neural networks and kernel learning machines

This page was built for publication: An empirical demonstration of the no free lunch theorem