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重庆绿色智能技术研究... [5]
计算技术研究所 [2]
兰州理工大学 [1]
海洋研究所 [1]
山东大学 [1]
内容类型
期刊论文 [7]
会议论文 [3]
发表日期
2019 [10]
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An adaptive latent factor model via particle swarm optimization
期刊论文
NEUROCOMPUTING, 2019, 卷号: 369, 页码: 176-184
作者:
Wang, Qingxian
;
Chen, Sili
;
Luo, Xin
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  |  
浏览/下载:4/0
  |  
提交时间:2020/08/24
Latent factor analysis
Particle swarm optimization
High-dimensional and sparse matrix
Stochastic gradient descent
Self-adaptive model
A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction
期刊论文
NEUROCOMPUTING, 2019, 卷号: 367, 页码: 299-307
作者:
Wang, Qingxian
;
Chen, Minzhi
;
Shang, Mingsheng
;
Luo, Xin
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  |  
浏览/下载:84/0
  |  
提交时间:2019/12/03
Big Data
QoS prediction
Temporal-aware QoS prediction
Stochastic gradient descent
Latent factorization of tensors
Momentum method
Super-Resolution Reconstruction of Deep Residual Network with Multi-Level Skip Connections
期刊论文
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2019, 卷号: 41, 期号: 10, 页码: 2501-2508
作者:
Zhao, Xiaoqiang
;
Song, Zhaoyang
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  |  
浏览/下载:18/0
  |  
提交时间:2020/11/14
Convolution
Convolutional neural networks
Eigenvalues and eigenfunctions
Gradient methods
Image processing
Optical resolving power
Stochastic models
Stochastic systems
Evaluation index
Feature information
High resolution image
Image information
Low resolution images
Multilevels
Stochastic gradient descent
Super resolution reconstruction
Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 24
作者:
Han, Yong
;
Wang, Cheng
;
Ren, Yibin
;
Wang, Shukang
;
Zheng, Huangcheng
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  |  
浏览/下载:80/0
  |  
提交时间:2020/01/03
passenger flow
short-term prediction
long short-term memory network
hybrid optimization algorithm
Layer-wise learning based stochastic gradient descent method for the optimization of deep convolutional neural network
期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 卷号: 37, 期号: 4, 页码: 5641-5654
作者:
Zheng, Qinghe
;
Tian, Xinyu
;
Jiang, Nan
;
Yang, Mingqiang
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/11
Deep learning
deep CNNs
non-convex optimization
SGD
layer-wise
learning
Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 172065-172073
作者:
Fan, Yuchen
;
Zhang, Jilin
;
Zhao, Nailiang
;
Ren, Yongjian
;
Wan, Jian
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  |  
浏览/下载:1/0
  |  
提交时间:2020/12/10
Distributed machine learning
stochastic gradient descent
model aggregation method
smart sensing equipment
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 156848-156859
作者:
Cui, Guoxin
;
Guo, Jiafeng
;
Fan, Yixing
;
Lan, Yanyan
;
Cheng, Xueqi
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  |  
浏览/下载:2/0
  |  
提交时间:2020/12/10
Training
Market research
Acceleration
Convergence
Servers
Stochastic processes
Machine learning
Parameter trend
asynchronous SGD
accelerate training
An adaptive latent factor model via particle swarm optimization for high-dimensional and sparse matrices
会议论文
Bari, Italy, October 6, 2019 - October 9, 2019
作者:
Chen, Sili
;
Yuan, Ye
;
Wang, Jin
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  |  
浏览/下载:7/0
  |  
提交时间:2020/02/18
Momentum-incorporated latent factorization of tensors for extracting temporal patterns from QoS data
会议论文
Bari, Italy, October 6, 2019 - October 9, 2019
作者:
Chen, Minzhi
;
Wu, Hao
;
He, Chunlin
;
Chen, Sili
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/02/18
A parallelized, momentum-incorporated stochastic gradient descent scheme for latent factor analysis on high-dimensional and sparse matrices from recommender systems
会议论文
Bari, Italy, October 6, 2019 - October 9, 2019
作者:
Qin, Wen
;
Wu, Hao
;
Lai, Qingkuan
;
Wang, Chaobin
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  |  
浏览/下载:0/0
  |  
提交时间:2020/02/18
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