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EVENT-BASED INFERENCE AND LEARNING FOR STOCHASTIC SPIKING BAYESIAN NETWORKS
EVENT-BASED INFERENCE AND LEARNING FOR STOCHASTIC SPIKING BAYESIAN NETWORKS
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机译:基于事件的推理贝叶斯网络推理和学习
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摘要
A method of performing event-based Bayesian inference and learning includes receiving input events at each node. The method also includes applying bias weights and/or connection weights to the input events to obtain intermediate values. The method further includes determining a node state based on the intermediate values. Further still, the method includes computing an output event rate representing a posterior probability based on the node state to generate output events according to a stochastic point process.
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