Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution

Research article (Physical review. E, 2016) · cited 25× · AI/ML
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Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution

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Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-maximum-entropy-models-from-finite-size-data-sets-a-fast-data-driven-algorithm-allows-sampling-from-the-posteri
MLA “Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-maximum-entropy-models-from-finite-size-data-sets-a-fast-data-driven-algorithm-allows-sampling-from-the-posteri.
BibTeX @misc{4ortxyz_learning-maximum-entropy-models-from-finite-size-data-sets-a-fast-data-driven-algorithm-allows-sampling-from-the-posteri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distribution}}, year = {2026}, url = {https://4ort.xyz/entity/learning-maximum-entropy-models-from-finite-size-data-sets-a-fast-data-driven-algorithm-allows-sampling-from-the-posteri}, note = {Accessed: 2026-05-24}}
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