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期刊论文 [38]
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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
收藏
  |  
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
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:29/0
  |  
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
Back-propagation neural network and support vector machines for gold mineral prospectivity mapping in the Hatu region, Xinjiang, China
期刊论文
EARTH SCIENCE INFORMATICS, 2018, 卷号: 11, 期号: 4, 页码: 553-566
作者:
Zhang, Nannan
;
Zhou, Kefa
;
Li, Dong
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  |  
浏览/下载:1/0
  |  
提交时间:2020/07/08
Mineral prospectivity mapping
Back propagation neural network
Support vector machines
Weight of evidence
Uncertain data classification with additive kernel support vector machine
期刊论文
DATA & KNOWLEDGE ENGINEERING, 2018, 卷号: 117, 页码: 87-97
作者:
Xie, Zongxia
;
Xu, Yong
;
Hu, Qinghua
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  |  
浏览/下载:2/0
  |  
提交时间:2020/03/10
Uncertain data
Additive kernel
Support vector machines
Classification
p-Laplacian Regularization for Scene Recognition
期刊论文
IEEE Transactions on Cybernetics, 2018
作者:
Weifeng Liu
;
Xueqi Ma
;
Yicong Zhou
;
Dapeng Tao
;
Jun Cheng
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  |  
浏览/下载:33/0
  |  
提交时间:2019/01/31
Semi-supervised classification based on class certainty of samples [基于样本类别确定度的半监督分类]
期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2018, 卷号: 44, 页码: 1941-1951
作者:
Gao, F.
;
Zhu, F.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Discriminant analysis
Image classification
Image retrieval
Radar imaging
Remote sensing
Supervised learning
Support vector machines
Synthetic aperture radar
Class certainty
Kernel methods
Linear discriminant analysis
Remote sensing images
Semi-supervised classification
Learning algorithms
面向节电生产的铝电解电流效率预测模型研究
学位论文
硕士: 中国科学院沈阳自动化研究所, 2016
作者:
钟新成
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  |  
浏览/下载:43/0
  |  
提交时间:2016/12/25
铝电解
电流效率
预测模型
KFCM
LSSVM
copula分布估计算法
One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016
Song, Benqin
;
Li, Peijun
;
Li, Jun
;
Plaza, Antonio
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  |  
浏览/下载:2/0
  |  
提交时间:2017/12/03
Kernel function
one-class classification (OCC)
remote sensing imagery
sparse representations
PARTIALLY SUPERVISED CLASSIFICATION
SUPPORT VECTOR MACHINES
HYPERSPECTRAL DATA
DAMAGE DETECTION
SAMPLES
Impervious surface extraction using coupled spectral-spatial features
期刊论文
Journal of Applied Remote Sensing, 2016, 卷号: 10, 期号: 3
作者:
Yu, Xinju
;
Shen, Zhanfeng
;
Cheng, Xi
;
Xia, Liegang
;
Luo, Jiancheng
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2017/04/24
SUPPORT VECTOR MACHINES
OBJECT DETECTION
BAG
REPRESENTATION
FUSION
KERNEL
SCALE
In silico toxicity prediction of chemicals from EPA toxicity database by kernel fusion-based support vector machines
期刊论文
Chemometrics and Intelligent Laboratory Systems, 2015, 卷号: 146, 页码: 494-502
作者:
Cao, Dong-Sheng*
;
Dong, Jie
;
Wang, Ning-Ning
;
Wen, Ming
;
Deng, Bai-Chuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/03
Toxicity prediction
Support vector machine
Kernel methods
Kernel fusion
Data fusion
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