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Phys.org25d
Machine learning unlocks superior performance in light-driven organic crystals
Using LASSO regression to identify key molecular substructures and Bayesian optimization for efficient sampling, they achieved a maximum blocking force of 37.0 mN—73 times more efficient than ...
JSTOR Daily6y
Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model
METHODS We present a new model for estimating the NMR for countries worldwide, using a Bayesian hierarchical model framework. CONTRIBUTION Our modeling approach offers an intuitive way to share ...
lse4y
Bayesian Machine Learning
Bayesian estimation, model choice and forecasting. These concepts are also illustrated in real world applications modelled via linear models of regression and classification and compared with ...
lse2y
Bayesian Machine Learning
Bayesian estimation, model choice and forecasting. These concepts are also illustrated in real world applications modelled via linear models of regression and classification and compared with ...