论文标题
从个人时间序列的观察状态的传播图估计
Propagation Graph Estimation from Individual's Time Series of Observed States
论文作者
论文摘要
各种事物通过个人的媒介传播。有些人跟随其他人，以少数时间步骤接管与州类似的州。在本文中，我们研究了从所有个体的真实价值状态序列中估算个体的状态传播顺序的问题。我们提出了一种方法，以通过一个人的状态位置的时间延迟与另一个人的匹配状态位置的平均最低成本一致性的时间延迟的总和来估算个人之间的传播方向，并显示如何有效地计算出来。证明由我们提出的方法估计的传播顺序比我们的合成数据集的基线方法更准确，并且与日本股票价格时间序列和生物细胞射击状态序列的数据集的视觉识别传播顺序保持一致。
Various things propagate through the medium of individuals. Some individuals follow the others and take the states similar to their states a small number of time steps later. In this paper, we study the problem of estimating the state propagation order of individuals from the real-valued state sequences of all the individuals. We propose a method to estimate the propagation direction between individuals by the sum of the time delay of one individual's state positions from the other individual's matched state position averaged over the minimum cost alignments and show how to calculate it efficiently. The propagation order estimated by our proposed method is demonstrated to be significantly more accurate than that by a baseline method for our synthetic datasets, and also to be consistent with visually recognizable propagation orders for the dataset of Japanese stock price time series and biological cell firing state sequences.
