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No Free Lunch Theorem and Bayesian probability theory: two sides of the
  same coin. Some implications for black-box optimization and metaheuristics

No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics

23 November 2013
L. Serafino
ArXivPDFHTML

Papers citing "No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics"

2 / 2 papers shown
Title
Bayesian Learning for Neural Networks: an algorithmic survey
Bayesian Learning for Neural Networks: an algorithmic survey
M. Magris
Alexandros Iosifidis
BDL
DRL
47
68
0
21 Nov 2022
When and Why Metaheuristics Researchers Can Ignore "No Free Lunch"
  Theorems
When and Why Metaheuristics Researchers Can Ignore "No Free Lunch" Theorems
James McDermott
FedML
28
17
0
07 Jun 2019
1