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A Markov Model of Machine Translation using Non-parametric Bayesian Inference
Markov Model Machine Translation Non-parametric Bayesian Inference
2014/3/20
Most modern machine translation systems use phrase pairs as translation units, allowing for accurate modelling of phraseinternal translation and reordering. However phrase-based approaches are much le...
Bayesian Inference and Prediction of Burr Type XII Distribution for Progressive First Failure Censored Sampling
Burr Type XII Distribution Progressive First-Failure Censored Sample Bayesian Estimations Gibbs Sampling Markov Chain Monte Carlo Posterior Predictive Density
2013/1/28
This paper deals with Bayesian inference and prediction problems of the Burr type XII distribution based on progressive first failure censored data. We consider the Bayesian inference under a squared ...
Adaptive relevance feedback based on Bayesian inference for image retrieval
Adaptive relevance feedback Bayesian inference image retrieval
2010/12/15
Adaptive relevance feedback based on Bayesian inference for image retrieval.