Active learning for neural networks
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Updated
Jul 25, 2019 - Python
Active learning for neural networks
An R port of https://github.com/csunlab/fisher-information. For Quinn Asena
Matlab package for LNA simulations of biological models
A framework for determining the maximum information gain and optimising experimental design in neutron reflectometry using the Fisher information.
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
A sensitivity toolbox that is tailored to the design process in the presence of uncertainties
Additive interaction modelling using I-priors
A Fisher information matrix python package for GW detector networks.
Experimental design in neutron reflectometry using the Fisher information.
Minimal effort to get maximal information from your experiments
About A collection of AWESOME things about information geometry Topics
An R package for I-prior regression
Methods for computational information geometry
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