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Maxent Applied To Linear Regression
1990Given sparse, unreplicated data of poor instrumental resolution, we determine the probability of linear models using orthogonal least squares regression and MAXENT with an ‘expert draftsman’ constraint. An information bound condition enables MAXENT inference for the reliability of evidence determining the probability distribution for observations of a ...
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Quantified Maxent: An NMR Application
1990‘Classic MaxEnt’ is a Bayesian derivation of the MaxEnt treatment of inverse problems leading to a posterior probability ‘bubble’ over the solution. This probability bubble—which is maximised at the optimal regularised solution—provides the framework for quantitative inferences about the solution.
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NMEAS: Neuro-MaxEnt architecture search
International Journal of Machine Learning and Cybernetics, 2023Zhiyuan Zou +3 more
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A statistical explanation of MaxEnt for ecologists
Diversity and Distributions, 2011Jane Elith +2 more
exaly

