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Robust embedding regression for semi-supervised learning
期刊论文
PATTERN RECOGNITION, 2024, 卷号: 145
作者:
Bao, Jiaqi
;
Kudo, Mineichi
;
Kimura, Keigo
;
Sun, Lu
Adobe PDF(2659Kb)
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收藏
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浏览/下载：110/0
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提交时间：2023/10/13
Classification (of information)
Feature Selection
Iterative methods
Regression analysis
Embeddings
Features selection
Labeled data
Low-rank representations
Nuclear norm
Real-world
Ridge regression
Semi-supervised learning
Semi-supervised method
Unlabeled data
Partial Multi-label Learning with a Few Accurately Labeled Data
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Jakarta, Indonesia, November 15, 2023 - November 19, 2023
作者:
Mizuguchi, Haruhi
;
Kimura, Keigo
;
Kudo, Mineichi
;
Sun, Lu
Adobe PDF(31537Kb)
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收藏
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浏览/下载：29/0
|
提交时间：2024/01/19
Learning algorithms
Learning systems
Machine learning
False positive
Labeled data
Learn+
Machine-learning
Multi-label classifications
Multi-label learning
Partial multi-label learning
Ranking loss
Training data
Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Jakarta, Indonesia, November 15, 2023 - November 19, 2023
作者:
Li, Zhiwei
;
Yang, Zijian
;
Sun, Lu
;
Kudo, Mineichi
;
Kimura, Keigo
Adobe PDF(737Kb)
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收藏
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浏览/下载：42/13
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提交时间：2024/01/19
Embeddings
Focal loss
Hilbert-schmidt independence criterions
Modern applications
Multi-label learning
Multi-view multi-label learning
Multi-views
Multiple labels
Weak labels
Weakly supervised learning
Grouped Multi-Task Learning with Hidden Tasks Enhancement
会议论文
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023
作者:
Jin, Jiachun
;
Wang, Jiankun
;
Sun, Lu
;
Zheng, Jie
;
Kudo, Mineichi
Adobe PDF(599Kb)
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浏览/下载：183/94
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提交时间：2023/11/24
Clustering algorithms
Learning systems
Machine learning
Generalization performance
Learning methods
Multitask learning
Parameter learning
Parameter spaces
Prediction performance
Prediction tasks
Subspace clustering
Unified framework
Within clusters
Structured Sparse Multi-Task Learning with Generalized Group Lasso
会议论文
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023
作者:
Fei, Luhuan
;
Sun, Lu
;
Kudo, Mineichi
;
Kimura, Keigo
Adobe PDF(934Kb)
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收藏
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浏览/下载：239/119
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提交时间：2023/11/24
Learning systems
Machine learning
Mathematical operators
Optimization
Compact model
Generalisation
Group lassos
High-dimensional
Learning to learn
Multitask learning
Optimization algorithms
Regularisation
Sharing information
Structured sparsities
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning
会议论文
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, Krakow, Poland, September 30, 2023 - October 4, 2023
作者:
Wang, Xinyi
;
Sun, Lu
;
Nguyen, Canh Hao
;
Mamitsuka, Hiroshi
Adobe PDF(783Kb)
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收藏
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浏览/下载：187/89
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提交时间：2023/11/24
Factorization
Learning systems
Machine learning
Heterogeneous data
Learn+
Learning methods
Multi-views
Multiple tasks
Multiple views
Multitask learning
Predictive information
Sparse tensors
Tensor factorization
Full-scale field-free spin-orbit switching of the CoPt layer grown on vicinal substrates
预印本
2023
作者:
Luo, Yongming
;
Liang, Mengfan
;
Feng, Zhongshu
;
Chen, Haoran
;
Jiang, Nan
Adobe PDF(1695Kb)
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收藏
|
浏览/下载：28/0
|
提交时间：2024/01/09
Fed-SC: One-Shot Federated Subspace Clustering over High-Dimensional Data
会议论文
THE 39TH IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2023), Anaheim, CA, United states, April 3, 2023 - April 7, 2023
作者:
Songjie Xie
;
Youlong Wu
;
Kewen Liao
;
Lu Chen
;
Chengfei Liu
Adobe PDF(1413Kb)
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收藏
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浏览/下载：161/0
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提交时间：2023/05/23
Clusterings
Critical challenges
Curse of dimensionality
Federated clustering
High dimensional data
High dimensional spaces
K-means
K-means++ clustering
Statistical heterogeneities
Subspace clustering
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning
会议论文
IJCAI INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, Macao, China, August 19, 2023 - August 25, 2023
作者:
Yang, Zijian
;
Li, Zhiwei
;
Sun, Lu
Adobe PDF(498Kb)
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收藏
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浏览/下载：49/0
|
提交时间：2023/09/22
Deep learning
Learning systems
Matrix algebra
'current
Base matrix
Data representations
Feature matrices
Learning process
Multilayer structures
Multiple factors
Nonnegative matrix factorization
Novel methods
Simple structures
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels
预印本
2022
作者:
Li, Zhiwei
;
Sun, Lu
;
Kudo, Mineichi
;
Kimura, Kego
Adobe PDF(492Kb)
|
收藏
|
浏览/下载：17/0
|
提交时间：2024/01/09
