Hierarchical Bayes methods for systems with spatially varying condition states
作者： Marc A Maes , Markus Dann
DOI: 10.1139/L07-049
关键词: Artificial intelligence 、 Face (geometry) 、 Machine learning 、 Bayes' theorem 、 Bayesian probability 、 Computer science
摘要: In engineering decision making, we often face problems where the conditions governing certain response models vary spatially. such cases, use of hierarchical Bayesian is benefic...
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