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 median raeacrossqueryestimation method

NeuralSequenceModels

Neural Information Processing Systems

All of the questions posed in Table 1in the main paper can be decomposed into readily available components that our modelpθ can estimate. Q1 P (X1) is already naturally in a form that our model can directly estimate due to the autoregressive factorization imposed by the architecture:p θ(X1). Q3 The "hitting time" or the next occurrence of a specific event typea V is defined asτ(a). Interestingly, we can see thatQ3 is a generalization ofQ2 by noting that they are identical when A={}. In practice, computing this exactly is intractable due to it being an infinite sum.

  artificial intelligence, median raeacrossqueryestimation method, probability, (16 more...)
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  Technology: Information Technology > Artificial Intelligence (0.96)

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