BOXVIA: Bayesian optimization executable and visualizable application Article Swipe
Related Concepts
Python (programming language)
Executable
Computer science
Bayesian optimization
Graphical user interface
Probabilistic logic
Bayesian probability
Programming language
Theoretical computer science
Machine learning
Artificial intelligence
Akimitsu Ishii
,
Ryunosuke Kamijyo
,
Akinori Yamanaka
,
Akiyasu Yamamoto
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.softx.2022.101019
· OA: W4214604279
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.softx.2022.101019
· OA: W4214604279
Bayesian optimization (BO) has attracted attention in various research fields as a powerful probabilistic approach for solving optimization problems. To further facilitate the use of BO, we developed a graphical user interface-based Python application called BOXVIA. BOXVIA enables the use of BO without the construction of a computing environment and/or the need for programming skills. Moreover, BOXVIA helps users interpret the results of the BO process effectively through certain useful functionalities available for visualizing the mean function, standard deviation, and acquisition functions.
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