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A Dynamic Bayesian Network Click Model.pdf
... appearing in lower positions are less likely
to be clicked even if they are relevant. In this paper, we
propose a Dynamic Bayesian Network which aims at providing
us with unbiased estimation of the relevance from
the click logs. Experiments show that the ...
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MCMC and Applied Bayesian Statistics.pdf
Markov chain Monte Carlo is a stochastic simulation
technique that is very useful for computing inferential
quantities. It is often used in a Bayesian context, but
not restricted to a Bayesian setting.
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Bayesian Natural Language Semantics and Pragmatics.pdf
Bayesian NLI gives three departures from standard assumptions. First, it can be
seen as a defence of linguistic semantics as a production system that maps meanings
into forms as was assumed in generative semantics, but also in systemic grammar,
functional ...
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