Similarity-basedcrossover-mutationoperatorand itsapplicationtominingclassificationrules 基于相似度的交叉变异算子及其在分类规则挖掘中的应用 service.ilib.cn 7. Applicationandanalysisofcontent-similarity-basedautomaticevaluationforsummarizationsystems 基于内容相似度的文摘自动评测方法及其有效性分析 ...
The aim of this paper is to build a formal model for similarity-based fuzzy unification in multi-adjoint logic programs. Specifically, a general framework of logic programming which allows the simultaneous use of different implications in the rules and rather general connectives in the bodies is ...
滕卫明, et al. "基于 SBM 技术的发电设备故障预警系统研究." 中国电力 1 (2015): 40-46. Tobar, Felipe A., et al. "Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis." Proceedings of the 2011 American Control Conference. IEEE, 2011. L Quinte...
Chapter 6:Similarity-Based Methods ①Similarity Measure 相似度的衡量方法: Euclidean Distance(欧几里得距离): Mahalanobi Distance(马氏距离): ,其中Q是一个半正定的协方差矩阵,是多维度数据之间的方差。马氏距离比高斯距离考虑的更全面,因为他把数据的维度和数据的大小都考虑了进来。中间的Q矩阵就是起到这个作用,...
简介:【数据分析】基于SBM算法(Similarity-based Modeling)对火力发电汽轮机进行建模 ✅作者简介:热爱科研的Matlab仿真开发者,修心和技术同步精进,matlab项目合作可私信。 🍎个人主页:Matlab科研工作室 🍊个人信条:格物致知。 更多Matlab仿真内容点击👇
In the similarity-based paradigm, objects are described using pairwise (dis)similarities, i.e. distances from other objects in the data set. In this way, objects are not constrained to be explicitly represented in a feature space, and all that is necessary is a way to compute (dis)...
Memory reading 该方法与TriMF类似,都是利用注意力机制,将输入表示与从记忆中读取的信息相结合,得到扩展的表示。如图 2 所示,本文的架构对两种输入表示进行了扩展:一种是词嵌入 ,另一种是提及候选的跨度表示 。对于每一种输入表示 ( ),以及每一种记忆矩阵 ...
Similarity-based approaches to machine learning come from the idea that the best way to make a predictions is to simply look at what has worked well in the past and predict the same thing. The fundamental concepts required to build a system based on this idea are feature spaces and measures...
Similarity-basedtheoryofrepresentation Theproblemspaceisavectorspace Itcanbegeneratedfromexperience automatically (corpus-based) Search and movement in this problem space consists of vector operations LSA LPSA The problem space is a metric space, where states and trials are represented as vectors ...
Link prediction aims to predict the existence of unknown links via the network information. However, most similarity-based algorithms only utilize the current common neighbor information and cannot get high enough prediction accuracy in evolving networks