AINeutralarXiv – CS AI · 7h ago5/10
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Belief Acquisition as Stochastic Filtering
Researchers present a novel stochastic filtering methodology called factored conditional filters for tracking states and estimating parameters in high-dimensional systems. The approach decomposes complex state spaces into lower-dimensional subspaces, enabling efficient computation while maintaining approximation accuracy. Applications include epidemic tracking and parameter estimation in large contact networks.