Abstract: Aiming at the problem of frequent itemsets mining in uncertain data flows, this paper proposes a botm-mine for frequent itemsets mining in uncertain data flows. In this algorithm, ...
Abstract: In probabilistic state inference, we seek to estimate the state of an (autonomous) agent from noisy observations. It can be shown that, under certain assumptions, finding the estimate is ...