Computing Optimal Bayesian Decisions for Rank Aggregation via MCMC Sampling.
David HughesKevin HwangLirong XiaPublished in: UAI (2015)
Keyphrases
- rank aggregation
- markov chain monte carlo
- monte carlo
- posterior distribution
- meta search
- markov chain
- sampling algorithm
- decision making
- posterior probability
- bayesian inference
- web search
- ranked list
- metropolis hastings algorithm
- random sampling
- parameter estimation
- bayesian networks
- information retrieval
- latent variables
- particle filter
- decision makers
- probabilistic model
- decision trees
- neural network