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Space-efficient inference in dynamic probabilistic networks
IJCAI, pp.1292-1296, (1997)
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摘要
Dynamic probabilistic networks (DPNs) are a useful tool for modeling complex stochastic processes. The simplest inference task in DPNs is monitoring- that is, computing a posterior distribution for the state variables at each time step given all observations up to that time. Recursive, constant-space algorithms are well-known for monitori...更多
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