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Bayesian Inference

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

Papers

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Showing 1301–1310 of 2226 papers

TitleStatusHype
Rule-based Bayesian regressionCode0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Bayesian Inference by Symbolic Model Checking—0
Lifelong Incremental Reinforcement Learning with Online Bayesian InferenceCode1
Online neural connectivity estimation with ensemble stimulationCode0
Active pooling design in group testing based on Bayesian posterior prediction—0
Deep Knowledge Tracing with Learning Curves—0
Are low frequency macroeconomic variables important for high frequency electricity prices?—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty QuantificationCode1
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Benchmark Results

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