摘要: 在第22行中,由于tseires 变成了嵌入元组, 所以max(tseries[ta + 1:tb]) 会取下标最大的值, 而非最大的第二个元素. [(0, 0.19024852355156963), (1, 0.6660417262541884), (2, 0.395523497583831), 阅读全文
posted @ 2020-01-08 16:41 keeps_you_warm 阅读(173) 评论(0) 推荐(0) 编辑
摘要: 重点: 1.The constructed graph inherits several properties of the series in its structure. periodic series --> regular graphs这句话是错的,periodic series 转化成的图 阅读全文
posted @ 2020-01-07 17:48 keeps_you_warm 阅读(225) 评论(0) 推荐(0) 编辑
摘要: Basic knowledge: degree matrix; similarity matrix, and Adjacency matrix; 无向带权图模型 G=<V,E>G=<V,E>,每一条边上的权重wij为两个顶点的相似度,从而可以定义相似度矩阵W,此外还可以定义度矩阵D和邻接矩阵A,从而 阅读全文
posted @ 2019-12-19 20:59 keeps_you_warm 阅读(506) 评论(0) 推荐(0) 编辑
摘要: From 一、环境配置的难题 软件开发最大的麻烦事之一,就是环境配置。用户计算机的环境都不相同,你怎么知道自家的软件,能在那些机器跑起来? 用户必须保证两件事:操作系统的设置,各种库和组件的安装。只有它们都正确,软件才能运行。举例来说,安装一个 Python 应用,计算机必须有 Python 引擎, 阅读全文
posted @ 2019-12-17 17:18 keeps_you_warm 阅读(192) 评论(0) 推荐(0) 编辑
摘要: PKU blog about this paper Basic knowledge: 1. what is time-varying graphs? time-varying graph VS static graph. a time-varying graph - an ordered seque 阅读全文
posted @ 2019-12-16 17:01 keeps_you_warm 阅读(187) 评论(0) 推荐(0) 编辑
摘要: Add a.password file to chrome. Settings -> Advanced -> Security -> Manage Certificates -> Import certificates -> copy password from a.password file. S 阅读全文
posted @ 2019-12-12 23:51 keeps_you_warm 阅读(154) 评论(0) 推荐(0) 编辑
摘要: Their data 1. five data set, 100 single channel of EEG signals, each channel EEG has 4097 data point. 2. to reduce the computation time, they segment 阅读全文
posted @ 2019-12-10 00:16 keeps_you_warm 阅读(275) 评论(0) 推荐(0) 编辑
摘要: Purpose: characterize the evolution of dynamical systems. In this paper, a novel method based on epsilon-recurrence networks is proposed for the study 阅读全文
posted @ 2019-12-09 22:28 keeps_you_warm 阅读(185) 评论(0) 推荐(0) 编辑
摘要: Tasks: invest papers 3 篇. 研究主动权在我手里. I have to. 1. the benefit of complex network: complex network theory has been particularly successful in providin 阅读全文
posted @ 2019-12-09 20:31 keeps_you_warm 阅读(391) 评论(0) 推荐(0) 编辑
摘要: Why Time Series Data Is Unique A time series is a series of data points indexed in time. The fact that time series data is ordered makes it unique in 阅读全文
posted @ 2019-12-09 18:46 keeps_you_warm 阅读(265) 评论(0) 推荐(0) 编辑