Gene expression data classification using Laplacian eigenmap based on Improved maximum margin criterion

被引：0
|
作者：
机构：
[1] Wang, Nian
[2] Wang, Junsheng
[3] Ge, Fang
来源：
Wang, N. (wn_xlb@eihu.edu.cn) | 1600年 / Chinese Institute of Electronics卷 / 22期
关键词：
13;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
    Niijima, Satoshi
    Kuhara, Satoru
    BMC BIOINFORMATICS, 2006, 7 (1)
  • [22] Feature extraction using fuzzy maximum margin criterion
    Cui, Yan
    Fan, Liya
    NEUROCOMPUTING, 2012, 86 : 52 - 58
  • [23] Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification
    Taghiyarrenani, Zahra
    Farsi, Hamed
    MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II, 2023, 1753 : 159 - 169
  • [24] Plant Recognition Based on Modified Maximum Margin Criterion
    Wang, Xianfeng
    Zhang, Shanwen
    Wang, Zhen
    INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III, 2018, 10956 : 520 - 525
  • [25] Improved Bijective-Soft-Set-Based Classification for Gene Expression Data
    Kumar, S. Udhaya
    Inbarani, H. Hannah
    Kumar, S. Senthil
    COMPUTATIONAL INTELLIGENCE, CYBER SECURITY AND COMPUTATIONAL MODELS, 2014, 246 : 127 - 132
  • [26] Analysis on gene expression data using confidence margin
    Osaka Prefecture University, 1-1 Gakuen-cho, Nakaku Sakai, Osaka 599-8531, Japan
    IEEJ Trans. Electron. Inf. Syst., 7 (1319-1324+21):
  • [27] LEARNING OSTEOARTHRITIS IMAGING BIOMARKERS USING LAPLACIAN EIGENMAP EMBEDDINGS WITH DATA FROM THE OAI
    Donoghue, C. R.
    Rao, A.
    Bull, A. M. J.
    Rueckert, D.
    2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, : 1011 - 1014
  • [28] A Novel Method for Hyperspectral Image Classification Based on Laplacian Eigenmap Pixels Distribution-Flow
    Hou, Biao
    Zhang, Xiangrong
    Ye, Qiang
    Zheng, Yaoguo
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (03) : 1602 - 1618
  • [29] Data augmentation using MG-GAN for improved cancer classification on gene expression data
    Chaudhari, Poonam
    Agrawal, Himanshu
    Kotecha, Ketan
    SOFT COMPUTING, 2020, 24 (15) : 11381 - 11391
  • [30] Data augmentation using MG-GAN for improved cancer classification on gene expression data
    Poonam Chaudhari
    Himanshu Agrawal
    Ketan Kotecha
    Soft Computing, 2020, 24 : 11381 - 11391
12345