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 811–820 of 2226 papers

TitleStatusHype
A Factor Graph Model of Trust for a Collaborative Multi-Agent System—0
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models—0
Bayesian Inference of Spreading Processes on Networks—0
Bayesian inference of spatial and temporal relations in AI patents for EU countries—0
Bayesian Inference of Spacecraft Pose using Particle Filtering—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Bayesian Inference of Self-intention Attributed by Observer—0
Bayesian Inference of Regular Expressions from Human-Generated Example Strings—0
Bayesian Inference of Recursive Sequences of Group Activities from Tracks—0
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming—0
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Benchmark Results

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