中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共13条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773
作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu
收藏  |  浏览/下载：70/0  |  提交时间：2022/12/26
Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature  
A comprehensive wind speed forecast correction strategy with an artificial intelligence algorithm 期刊论文
FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 卷号: 10, 页码: 12
作者:  Zhao, Xueliang;  Sun, Qilong;  Tang, Wanru;  Yu, Shuang;  Wang, Boyu
收藏  |  浏览/下载：33/0  |  提交时间：2023/02/07
wind speed  numerical weather prediction  forecast correction  deep learning  artificial intelligence  
Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma 期刊论文
JOURNAL OF ONCOLOGY, 2022, 卷号: 2022, 页码: 12
作者:  Feng, Menglong;  Zhang, Juhong;  Zhou, Xiaoqing;  Mo, Hailan;  Jia, Lifeng;  Zhang, Chanyuan;  Hu, Yaqin;  Yuan, Wei
收藏  |  浏览/下载：44/0  |  提交时间：2022/12/26
Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models 期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23
作者:  Li, Xiao;  Zhang, Liping;  Zeng, Sidong;  Tang, Zhenyu;  Liu, Lina;  Zhang, Qin;  Tang, Zhengyang;  Hua, Xiaojun
收藏  |  浏览/下载：42/0  |  提交时间：2022/12/26
monthly runoff prediction  machine learning  copula entropy  stepwise regression  Upper Yangtze River  
Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815
作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng
收藏  |  浏览/下载：99/0  |  提交时间：2022/10/14
Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning  
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu
收藏  |  浏览/下载：79/0  |  提交时间：2022/12/26
Computational modeling  Acceleration  Sparse matrices  Adaptation models  Training  Data models  Convergence  Services computing  service application  big data  latent factor analysis  non-negative latent factor model  high-dimensional and sparse matrix  recommender system  missing data  
Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文
WATER, 2022, 卷号: 14, 期号: 11, 页码: 21
作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun
收藏  |  浏览/下载：88/0  |  提交时间：2022/08/22
mid- to long-term runoff prediction  deep learning models  time lag  lead time  
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794
作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng
收藏  |  浏览/下载：75/0  |  提交时间：2022/08/22
Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model  
Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 3, 页码: 1334-1344
作者:  Wu, Hao;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载：64/0  |  提交时间：2022/08/22
High-dimensional and sparse tensor  missing data  latent factor analysis  temporal pattern  non-negativity  non-negative latent factorization of tensor  regularization  ensemble  services computing  
Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network 期刊论文
BMC ANESTHESIOLOGY, 2022, 卷号: 22, 期号: 1, 页码: 11
作者:  Chen, Yu-wen;  Li, Yu-jie;  Deng, Peng;  Yang, Zhi-yong;  Zhong, Kun-hua;  Zhang, Li-ge;  Chen, Yang;  Zhi, Hong-yu;  Hu, Xiao-yan;  Gu, Jian-teng;  Ning, Jiao-lin;  Lu, Kai-zhi;  Zhang, Ju;  Xia, Zheng-yuan;  Qin, Xiao-lin;  Yi, Bin
收藏  |  浏览/下载：53/0  |  提交时间：2022/08/22
In-hospital mortality risk  ICU  Temporal Convolution Network  Attention Mechanism  Time series  Artificial Intelligence