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Mixture Correntropy-Based Kernel Extreme Learning Machines
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:
Zheng, Yunfei
;
Chen, Badong
;
Wang, Shiyuan
;
Wang, Weiqun
;
Qin, Wei
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  |  
浏览/下载:44/0
  |  
提交时间:2022/03/17
Kernel
Optimization
Learning systems
Robustness
Support vector machines
Mean square error methods
Extreme learning machine (ELM)
kernel method
mixture correntropy
online learning
A Minimax Probability Machine for Nondecomposable Performance Measures
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Luo, Junru
;
Qiao, Hong
;
Zhang, Bo
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  |  
浏览/下载:7/0
  |  
提交时间:2022/04/02
Measurement
Task analysis
Covariance matrices
Support vector machines
Prediction algorithms
Minimization
Kernel
Imbalanced classification
minimax probability machine
nondecomposable performance measures
A Minimax Probability Machine for Nondecomposable Performance Measures
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Luo, Junru
;
Qiao, Hong
;
Zhang, Bo
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  |  
浏览/下载:28/0
  |  
提交时间:2022/01/27
Measurement
Task analysis
Covariance matrices
Support vector machines
Prediction algorithms
Minimization
Kernel
Imbalanced classification
minimax probability machine
nondecomposable performance measures
Feature selection with kernelized multi-class support vector machine
期刊论文
Pattern Recognition, 2021, 卷号: 117, 页码: 1-13
作者:
Guo YN(郭一楠)
;
Zhang ZR(张子睿)
;
Tang FZ(唐凤珍)
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  |  
浏览/下载:13/0
  |  
提交时间:2021/05/15
Feature selection
Multi-class support vector machine
Kernel machine
Recursive feature elimination
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
作者:
Cao, Zhen
;
Zhang, Shihua
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  |  
浏览/下载:30/0
  |  
提交时间: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
Determination of influential parameters for prediction of total sediment loads in mountain rivers using kernel-based approaches
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 2, 页码: 480-491
作者:
Roushangar, Kiyoumars
;
Shahnazi, Saman
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  |  
浏览/下载:14/0
  |  
提交时间:2020/11/11
Total sediment loads
Support vector machine
Gaussian process regression
Kernel extreme learning machine
Mountain Rivers
Full-Waveform LiDAR Point Clouds Classification Based on Wavelet Support Vector Machine and Ensemble Learning
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 14
作者:
Lai, Xudong
;
Yuan, Yifei
;
Li, Yongxu
;
Wang, Mingwei
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
full-waveform LiDAR
point cloud classification
support vector machine
wavelet kernel function
ensemble learning
Quasi-linear SVM classifier with segmented local offsets for imbalanced data classification
期刊论文
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 卷号: 14, 期号: 2, 页码: 289-296
作者:
Liang, Peifeng
;
Zheng, Feng
;
Li, Weite
;
Hu, Jinglu
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
imbalanced data classification
within-class imbalances
local offset
method
local linear partition
kernel composition
support vector
machine
Electroencephalography-Based Assessment of Severe Disorders of Consciousness
期刊论文
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2019, 卷号: 9, 期号: 5
作者:
Zhou, Zhiyong
;
Li, Xiaoou
;
Cheng, Jianxin
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  |  
浏览/下载:13/0
  |  
提交时间:2019/12/06
Minimally Conscious State
Vegetative State
Common Spatial Patterns
Partial Least Squares
Multiple Kernel Support Vector Machine
Matrix-Regularized Multiple Kernel Learning via (r, p) Norms
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4997-5007
作者:
Han, Yina
;
Yang, Yixin
;
Li, Xuelong
;
Liu, Qingyu
;
Ma, Yuanliang
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  |  
浏览/下载:40/0
  |  
提交时间:2018/10/23
Generalization Bound
Matrix Regularization
Multiple Kernel Learning (Mkl)
Support Vector Machine (Svm)
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