SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2191–2200 of 2226 papers

TitleStatusHype
Exploiting Reducibility in Unsupervised Dependency Parsing—0
A Probabilistic Model for Canonicalizing Named Entity Mentions—0
Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation—0
Estimating Compact Yet Rich Tree Insertion Grammars—0
Semantic Parsing with Bayesian Tree Transducers—0
Variational Bayesian Inference with Stochastic Search—0
Webservices for Bayesian Learning—0
Infinite Latent SVM for Classification and Multi-task Learning—0
Inference in continuous-time change-point models—0
Practical Variational Inference for Neural Networks—0
Show:102550
← PrevPage 220 of 223Next →

Benchmark Results

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