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Bayesian active learning for optimization and uncertainty quantification
  in protein docking

Bayesian active learning for optimization and uncertainty quantification in protein docking

31 January 2019
Yue Cao
Yang Shen
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "Bayesian active learning for optimization and uncertainty quantification in protein docking"

2 / 2 papers shown
Title
Predictive Entropy Search for Efficient Global Optimization of Black-box
  Functions
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
109
648
0
10 Jun 2014
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument
  of a Noisy Function
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro A. Ortega
Jordi Grau-Moya
Tim Genewein
David Balduzzi
Daniel A. Braun
87
2
0
09 Jun 2012
1