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A novel multiscale forecasting model for crude oil price time series 期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15
Authors:  Li, Ranran;  Hu, Yucai;  Heng, Jiani;  Chen, Xueli
Favorite  |  View/Download：61/0  |  Submit date：2022/04/02
Crude oil price forecasting  Decomposition-ensemble method  Support vector machine  Multiscale strategy  Complexity analysis  
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：68/0  |  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：84/0  |  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  
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 New Approach for Stock Price Analysis and Prediction Based on SSA and SVM 期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2019, 卷号: 18, 期号: 1, 页码: 287-310
Authors:  Xiao, Jihong;  Zhu, Xuehong;  Huang, Chuangxia;  Yang, Xiaoguang;  Wen, Fenghua;  Zhong, Meirui
Favorite  |  View/Download：135/0  |  Submit date：2019/03/11
Stock price  singular spectrum analysis  support vector machine  combined model  
Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction 期刊论文
BMC Genomics, 2018, 卷号: 19, 期号: 1
Authors:  Yu,Bin;  Li,Shan;  Qiu,Wenying;  Wang,Minghui;  Du,Junwei;  Zhang,Yusen;  Chen,Xing
Favorite  |  View/Download：114/0  |  Submit date：2018/07/30
Apoptosis proteins  Subcellular localization  Pseudo-position specific scoring matrix  Detrended cross-correlation analysis coefficient  Local fisher discriminant analysis  Support vector machine  
Gly-PseAAC: Identifying protein lysine glycation through sequences 期刊论文
GENE, 2017, 卷号: 602, 页码: 1-7
Authors:  Xu, Yan;  Li, Li;  Ding, Jun;  Wu, Ling-Yun;  Mai, Guoqin;  Zhou, Fengfeng
Favorite  |  View/Download：105/0  |  Submit date：2018/07/30
Glycation  Amino acid propensity  Support Vector Machine  
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  
Robust Novelty Detection via Worst Case CVaR Minimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2098-2110
Authors:  Wang, Yongqiao;  Dang, Chuangyin;  Wang, Shouyang
Favorite  |  View/Download：76/0  |  Submit date：2018/07/30
Conditional value-at-risk (CVaR)  kernel methods  novelty detection  robust programming  single-class support vector machine (SSVM)  
Kernel-based data fusion improves the drug-protein interaction prediction 期刊论文
COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2011, 卷号: 35, 期号: 6, 页码: 353-362
Authors:  Wang, Yong-Cui;  Zhang, Chun-Hua;  Deng, Nai-Yang;  Wang, Yong
Favorite  |  View/Download：95/0  |  Submit date：2018/07/30
Drug-target interaction  Chemical space  Pharmacological space  Therapeutic space  Genomic space  Kernel function  Support vector machine