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 2141–2150 of 2226 papers

TitleStatusHype
Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion—0
Bayesian Inference in Sparse Gaussian Graphical Models—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification—0
Sigma Point Belief Propagation—0
Learning non-concatenative morphology—0
Unsupervised structured semantic inference for spoken dialog reservation tasks—0
Collapsed Variational Bayesian Inference for PCFGs—0
Nonparametric Bayesian Inference and Efficient Parsing for Tree-adjoining Grammars—0
Scalable Decipherment for Machine Translation via Hash Sampling—0
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Benchmark Results

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