SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 1801–1810 of 2226 papers

TitleStatusHype
Bayesian Inference in Sparse Gaussian Graphical Models—0
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia—0
Bayesian Inference of Bijective Non-Rigid Shape Correspondence—0
Bayesian inference of composition-dependent phase diagrams—0
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization—0
Bayesian Inference of Log Determinants—0
Bayesian inference of mean velocity fields and turbulence models from flow MRI—0
Bayesian Inference of Natural Rankings in Incomplete Competition Networks—0
Bayesian inference of natural selection from allele frequency time series—0
Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified