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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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浏览/检索结果:
共9条,第1-9条
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发表日期:2024
语种:英语
文献类型:期刊论文
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Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 3, 页码: 1029-1043
作者:
Shi, Xiaoyu
;
Liu, Quanliang
;
Xie, Hong
;
Bai, Yanan
;
Shang, Mingsheng
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  |  
浏览/下载:6/0
  |  
提交时间:2024/08/16
Entropy
Recommender systems
Training
Feedback loop
Training data
Robustness
Real-time systems
Long-term fairness
maximum entropy policy
popularity bias
recommender system
reinforcement learning
web services
A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 3, 页码: 733-746
作者:
Bi, Fanghui
;
He, Tiantian
;
Luo, Xin
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/08/16
Knowledge acquisition
data science
high-dimensional and incomplete data
neural network
fast nonnegative AutoEncoder
latent feature analysis
link prediction
network representation learning
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 1, 页码: 92-107
作者:
Qin, Wen
;
Luo, Xin
;
Zhou, Mengchu
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  |  
浏览/下载:17/0
  |  
提交时间:2024/05/06
Parallel algorithm
industrial application
latent feature analysis
high-dimensional and incomplete data
stochastic gradient descent
parallelization shared-memory
data science
Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High-Dimensional Incomplete Data Representation
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 卷号: 32, 期号: 2, 页码: 445-459
作者:
Qin, Wen
;
Luo, Xin
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  |  
浏览/下载:18/0
  |  
提交时间:2024/05/06
Training
Representation learning
Data models
Stochastic processes
Computational modeling
Analytical models
Proteins
Asynchronous parallelization
fuzzy optimization
high-dimensional incomplete (HDI) data
latent feature analysis (LFA)
shared-memory
stochastic gradient descent (SGD)
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
作者:
Zhou, Songqi
;
Li, Yang
;
Wu, Wenyuan
;
Li, Li
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/07/12
multi-task learning
scRNA-seq
cell annotation
protein prediction
low-dimensional embedding
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
作者:
Zhou, Songqi
;
Li, Yang
;
Wu, Wenyuan
;
Li, Li
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/07/12
multi-task learning
scRNA-seq
cell annotation
protein prediction
low-dimensional embedding
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
作者:
Zhou, Songqi
;
Li, Yang
;
Wu, Wenyuan
;
Li, Li
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/07/12
multi-task learning
scRNA-seq
cell annotation
protein prediction
low-dimensional embedding
scMMT: a multi-use deep learning approach for cell annotation, protein prediction and embedding in single-cell RNA-seq data
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2024, 卷号: 25, 期号: 2, 页码: 12
作者:
Zhou, Songqi
;
Li, Yang
;
Wu, Wenyuan
;
Li, Li
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/07/12
multi-task learning
scRNA-seq
cell annotation
protein prediction
low-dimensional embedding
Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning
期刊论文
PLOS ONE, 2024, 卷号: 19, 期号: 1, 页码: 21
作者:
Guo, Jia
收藏
  |  
浏览/下载:203/0
  |  
提交时间:2024/04/07