This paper describes a computational model to support decision-making using a combination of data mining (DM) and artificial neural network (ANN). With the enormous amount of data stored in databases, files and other repositories, it is increasingly important, to develop a powerful means for ...
Given the complex nature of graph structure, graph measures are often used to characterize graphs. In this paper, we focus on one global graph measure, average path length, and one local graph measure, clustering coefficient. Notably, these two measures are widely used in network science (Watts...
Paper Review: ICASSP2023 BATCH-ENSEMBLE STOCHASTIC NEURAL NETWORKS FOR OUT-OF-DISTRIBUTION DETECTION 哈哈哈哈哈利 BUPT × CSLT of THU PhD概述 to be updated 发布于 2023-07-08 21:55・IP 属地北京 深度学习(Deep Learning) 论文 赞同添加评论 分享喜欢收藏申请转载 ...
What is the knowledge in Neural Network? A conceptual block that may have prevented more investigation of this very promising approach is that we tend to identify the knowledge in a trained model with the learned parameter values and this makes it hard to see how we can change the form of ...
Given the complex nature of graph structure, graph measures are often used to characterize graphs. In this paper, we focus on one global graph measure, average path length, and one local graph measure, clustering coefficient. Notably, these two measures are widely used in network science (Watts...
Given the complex nature of graph structure, graph measures are often used to characterize graphs. In this paper, we focus on one global graph measure, average path length, and one local graph measure, clustering coefficient. Notably, these two measures are widely used in network science (Watts...
(GGNN) have demonstrated ground-breaking performance on many tasks mentioned above. In this survey, we provide a detailed review over existing graph neural network models, systematically categorize the applications, and propose four open problems for future research.大量的学习任务需要处理包含丰富元素间...
Graph Neural Network Review 图(graph)是一个非常常用的数据结构,现实世界中很多很多任务可以描述为图问题,比如社交网络,蛋白体结构,交通路网数据,以及很火的知识图谱等,甚至规则网格结构数据(如图像,视频等)也是图数据的一种特殊形式,因此图是一个很值得研究的领域。
Recent advances in sensor fault diagnosis: A review Daoliang Li, ... Yanqing Duan, in Sensors and Actuators A: Physical, 2020 6 Neural network With the development of efficient neural network and learning algorithm, system knowledge and diagnosis knowledge are integrated into neural network diagnosi...
(其中翻译成中文的,表示我对这个问题感兴趣,但目前也不知道答案;英文原文表示我不太理解review中想表达的意思) 1.CNN的第一层结构是如何?如何处理输入的? 2.“graph space to tensor space”具体是什么意思? 3.Does this "NAUTY" approach use anything like the "unsupervised" objective you allude to in Th...