蹚入Deep Learning的人越来越多了,直接上手写Image Classification、Speech Recognition甚至搭一个完整的Machine Translation System也不再是一个难事了,但也因为嵌套的非线性结构使得Neural Network框架更像是一个黑盒子,我们该如何解释究竟是什么因素使得有这样的预测结果。 为什么要使得AI System具备可解释性呢? 如在...
Neural Network Research refers to the pursuit of accurate mathematical characterizations of the electrophysiological properties of individual neurons and interconnected networks, leading to the development of models for pattern recognition and other applications in engineering and medicine. ...
Convolution neural networkScientific paper modelingEntity typeContext scopeScientific papers are important for scholars to track trends in specific research areas... Z Yin,S Wu,Y Yin,... 被引量: 0发表: 2019年 Keywords Recommender for Scientific Papers Using Semantic Relatedness and Associative Neural...
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...
impossible to code a solution. In these cases, it can make more sense to create a neural network and train the computer to do the job, as one would a human. On a more basic level, [Gigante] did just that,teaching a neural network to play a basic driving game with a genetic ...
(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...
Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints Mingming Zhao, ... Junfei Qiao June 2025 Research articleAbstract only Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction ...
Lifelong Topic Modeling with Knowledge-enhanced Adversarial NetworkWWW 2022[pdf] Xuewen Zhang, Yanghui Rao, Qing Li Note that some studies cannot infer the topic distributions for documents as LDA. Topic Modeling with Contextualized Word Representation ClustersarXiv 2020[pdf] ...
Paper:《Generating Sequences With Recurrent Neural Networks》的翻译和解读 目录 Generating Sequences With Recurrent Neural Networks Abstract 1、Introduction 2 Prediction Network 预测网络 2.1 Long Short-Term Memory 3 Text Prediction 文本预测 3.1 Penn Treebank Experiments Penn Treebank实验 ...