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Minute-cadence obser v ations of the LAMOST Fields with the TMTS–V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
Monthly Notices of the Royal Astronomical Society, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/03/29
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
Minute-cadence observations of the LAMOST Fields with the TMTS - V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/05/06
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
Lateral interaction by Laplacian-based graph smoothing for deep neural networks
期刊论文
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2023, 页码: 18
作者:
Chen, Jianhui
;
Wang, Zuoren
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/16
artificial neural networks
biologically plausible
Laplacian-based graph smoothing
lateral interaction
machine learning
Machine Learning Methods in Solving the Boolean Satisfiability Problem
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:
Wenxuan Guo
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  |  
浏览/下载:0/0
  |  
提交时间:2023/09/25
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
Machine Learning Methods in Solving the Boolean Satisfiability Problem
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:
Wenxuan Guo
;
Hui-Ling Zhen
;
Xijun Li
;
Wanqian Luo
;
Mingxuan Yuan
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 249-262
作者:
Guyue Hu
;
Bin He
;
Hanwang Zhang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/04/23
Prompt learning
video-language pretrained models
instructional videos
procedure understanding
knowledge distilling
Decomposition-Based Classifier Chains for Multi-Dimensional Classification
期刊论文
IEEE Transactions on Artificial Intelligence, 2022, 卷号: 3, 期号: 2, 页码: 176-191
作者:
Jia, Bin-Bin
;
Zhang, Min-Ling
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  |  
浏览/下载:13/0
  |  
提交时间:2022/07/20
Computer vision
Machine learning
Semantics
Binary classifiers
Class dependency
Classifier chain
Classifier chains
Comparatives studies
Feature space
Multi-class classifier
Multi-dimensional classification
Multiple class
Performance
Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
作者:
Wang, Xiao
;
Zhu, Yushan
;
Han, Shuangshuang
;
Yang, Linyao
;
Gu, Haixia
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/06/06
Convolutional neural networks
Feature extraction
Machine learning algorithms
Deep learning
Global Positioning System
Scalability
Safety
Broad learning system (BLS)
incremental learning system
Internet of Vehicles (IoV)
misbehavior detection
ridge regression approximation
Predicting Treatment Response in Schizophrenia With Magnetic Resonance Imaging and Polygenic Risk Score
期刊论文
FRONTIERS IN GENETICS, 2022, 卷号: 13, 页码: 11
作者:
Wang, Meng
;
Hu, Ke
;
Fan, Lingzhong
;
Yan, Hao
;
Li, Peng
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/06/06
schizophrenia
treatment prediction
XGBoost
polygenic risk score
magnetic resonance imaging
A transfer weighted extreme learning machine for imbalanced classification
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 1-21
作者:
Guo YN(郭一楠)
;
Jiao BT(焦博韬)
;
Tan, Ying
;
Zhang, Pei
;
Tang FZ(唐凤珍)
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/05/15
class imbalance learning
cost-sensitive learning
domain adaptation
extreme learning machine
transfer learning
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