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A Bayesian Neural Model for Documents' Relevance ...
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由 A Purpura 著作2021被引用 1 次 — We first introduce a QL model based on a Bayesian Neural Network to estimate the proportion of relevant documents in a ranked list. The proposed model is ...
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Alberto Purpura: A Bayesian Neural Model for Documents ...
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觀看次數超過 30 次 · 3 年前
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觀看次數超過 30 次 · 3 年前
Alberto Purpura and Gian Antonio Susto. "A Bayesian Neural Model for Documents' Relevance Estimation" in Proc. of the Second International ...
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A Bayesian Neural Model for Documents' Relevance Estimation - IR ...
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A Bayesian Neural Model for Documents' Relevance Estimation ; Proceedings of the Second International Conference on Design of Experimental Search & Information ...
A Bayesian Neural Model for Documents' Relevance Estimation
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Vol-2950/paper-18⫷Vol-2950/paper-15⫸Vol-2950/paper-02. Alberto Purpura Gian Antonio Susto. A Bayesian Neural Model for Documents' Relevance Estimation.
A BAYESIAN NEURAL NETWORK MODEL WITH ...
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由 A Holst 著作被引用 2 次 — Abstract. This report deals with a Bayesian neural network in a classi er context. In our network model, the units represent stochastic events, ...
A Bayesian neural network approach for modelling ...
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由 PJG Lisboa 著作2003被引用 197 次 — A Bayesian framework is introduced to carry out Automatic Relevance Determination (ARD) in feedforward neural networks to model censored data.
Using a Bayesian Neural Network as a Tool for Document ...
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由 M ERICMATS 著作2013被引用 1 次 — This thesis describes methods and problems when using Bayesian Ar- tificial Neural Networks for text document classification. It also depict.
Bayesian Estimation of Economic Simulation Models Using ...
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由 D Platt 著作2022被引用 30 次 — We introduce a widely-applicable Bayesian estimation protocol that makes use of deep neural networks to construct an approximation to the likelihood.
Bayesian Neural Network with and without compensation ...
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This paper addresses the problem of compensation mechanisms which can be used by Bayesian Neural Networks (BNNs) when dealing with skewed training data.
Bayesian Neural Controlled Differential Equations for ...
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The paper proposes Bayesian neural controlled differential equation (BNCDE) for treatment effect estimation in continuous time, incorporating uncertainty ...