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Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
Authors:  Liu, Weiwei;  Nie, Xiangli;  Zhang, Bo;  Sun, Xian
Favorite  |  View/Download:37/0  |  Submit date:2023/02/07
Task analysis  Feature extraction  Data models  Computational modeling  Learning systems  Training  Support vector machines  Deep learning  incremental learning  open-set recognition (OSR)  remote sensing (RS) image scene classification  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
Authors:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
Favorite  |  View/Download:69/0  |  Submit date:2022/04/02
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
Authors:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
Favorite  |  View/Download:85/0  |  Submit date:2022/04/02
Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
The Grassmannian of affine subspaces 期刊论文
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS, 2020, 页码: 38
Authors:  Lim, Lek-Heng;  Wong, Ken Sze-Wai;  Ye, Ke
Favorite  |  View/Download:102/0  |  Submit date:2020/06/30
Affine Grassmannian  Affine subspaces  Schubert calculus  homotopy and (co)homology  Probability densities  Distances and metrics  Multivariate data analysis  
Probe Efficient Feature Representation of Gapped K-mer Frequency Vectors from Sequences Using Deep Neural Networks 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 2, 页码: 657-667
Authors:  Cao, Zhen;  Zhang, Shihua
Favorite  |  View/Download:131/0  |  Submit date:2020/05/24
DNA  Bioinformatics  Kernel  Feature extraction  Support vector machines  Genomics  Task analysis  Bioinformatics  machine learning  gapped k-mer  deep neural network  transcription factor binding site prediction  
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 792-806
Authors:  Ding, Shuguang;  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo
Favorite  |  View/Download:125/0  |  Submit date:2018/07/30
Convex hull decomposition  kernel  online classification  projection  
Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecasting 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 7893-7904
Authors:  Yu, Lean;  Zhang, Xun;  Wang, Shouyang
Favorite  |  View/Download:125/0  |  Submit date:2018/07/30
support vector machines  artificial neural networks  ARIMA model  ARFIMA model  Markov-switching ARFIMA model  
DISTRIBUTED CLASSIFICATION LEARNING BASED ON NONLINEAR VECTOR SUPPORT MACHINES FOR SWITCHING NETWORKS 期刊论文
KYBERNETIKA, 2017, 卷号: 53, 期号: 4, 页码: 595-611
Authors:  Wang, Yinghui;  Lin, Peng;  Qin, Huashu
Favorite  |  View/Download:66/0  |  Submit date:2018/07/30
nonlinear support vector machine  multi-agent system  distributed optimization  connectivity  
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 12, 页码: 15392-15399
Authors:  Yu, Lean;  Yao, Xiao;  Wang, Shouyang;  Lai, K. K.
Favorite  |  View/Download:71/0  |  Submit date:2018/07/30
Credit risk evaluation  Weighted LSSVM classifier  Least squares algorithm  Design of experiment  Parameter selection  
Rigorous assessment and integration of the sequence and structure based features to predict hot spots 期刊论文
BMC BIOINFORMATICS, 2011, 卷号: 12, 页码: 14
Authors:  Chen, Ruoying;  Chen, Wenjing;  Yang, Sixiao;  Wu, Di;  Wang, Yong;  Tian, Yingjie;  Shi, Yong
Favorite  |  View/Download:96/0  |  Submit date:2018/07/30