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Neural networks and Bayesian estimators
1991Several recent contributions have suggested to consider neural networks, obtained through supervized learning, as Bayesian estimators. This is like placing oneself in the context of the decision theory. This helps propose a definition of a PAB algorithm, thus generalizing a definition proposed by Valiant in his learning theory.
Bochereau, L. +2 more
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Proceedings of the IEEE, 2016Bobak Shahriari, Nando De Freitas
exaly
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Systematic Biology, 2012Fredrik Ronquist +2 more
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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Systematic Biology, 2018Andrew Rambaut +2 more
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Naìˆve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Applied and Environmental Microbiology, 2007Qiong Wang +2 more
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Bayesian community-wide culture-independent microbial source tracking
Nature Methods, 2011Dan Knights +2 more
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MRBAYES: Bayesian inference of phylogenetic trees
Bioinformatics, 2001John P Huelsenbeck, Fredrik Ronquist
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Bayesian molecular clock dating of species divergences in the genomics era
Nature Reviews Genetics, 2015Mario dos Reis, Ziheng Yang
exaly