Estimating Parameters of 3D Cell Model Using a Bayesian Recursive Global Optimizer (BaRGO)
In the field of Evolutionary Strategy, parameter estimation for functions with multiple minima
is a difficult task when interdependencies between parameters have to be investigated. Most
of the current routines that are used to estimate such parameters leverage state-of-the-art
machine learning approaches to identify the global minimum, ignoring the relevance of the
potential local minima. In this paper, we present a novel Evolutionary Strategy routine that
uses sampling tools deriving from the Bayesian field to find the best parameters according to …
is a difficult task when interdependencies between parameters have to be investigated. Most
of the current routines that are used to estimate such parameters leverage state-of-the-art
machine learning approaches to identify the global minimum, ignoring the relevance of the
potential local minima. In this paper, we present a novel Evolutionary Strategy routine that
uses sampling tools deriving from the Bayesian field to find the best parameters according to …
[PDF][PDF] Estimating Parameters of 3D Cell Model using a Bayesian Recursive Global Optimizer (BaRGO)
IV Pivkin - iccs-meeting.org
In the field of Evolutionary Strategy, parameter estimation for functions with multiple minima
is a difficult task when interdependencies between parameters have to be investigated. Most
of the current routines that are used to estimate such parameters leverage state-of-theart
machine learning approaches to identify the global minimum, ignoring the relevance of the
potential local minima. In this paper, we present a novel Evolutionary Strategy routine that
uses sampling tools deriving from the Bayesian field to find the best parameters according to …
is a difficult task when interdependencies between parameters have to be investigated. Most
of the current routines that are used to estimate such parameters leverage state-of-theart
machine learning approaches to identify the global minimum, ignoring the relevance of the
potential local minima. In this paper, we present a novel Evolutionary Strategy routine that
uses sampling tools deriving from the Bayesian field to find the best parameters according to …