Some novel improvements for mdl-based semi-supervised classification of time series

被引：0
|
作者：
机构：
[1] Vinh, Vo Thanh
[2] Anh, Duong Tuan
来源：
| 1600年 / Springer Verlag卷 / 8733期
关键词：
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
  • [31] A Reverse Nearest Neighbor Based Active Semi-supervised Learning Method for Multivariate Time Series Classification
    Li, Yifei
    He, Guoliang
    Xia, Xuewen
    Li, Yuanxiang
    DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2016, PT I, 2016, 9827 : 272 - 286
  • [32] Time Series Analysis with Graph-based Semi-Supervised Learning
    Xu, Zhao
    Funaya, Koichi
    PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015), 2015, : 1100 - 1105
  • [33] A Novel Semi-supervised Classification Method Based on Class Certainty of Samples
    Gao, Fei
    Yue, Zhenyu
    Xiong, Qingxu
    Wang, Jun
    Yang, Erfu
    Hussain, Amir
    ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS, BICS 2018, 2018, 10989 : 315 - 324
  • [34] A novel feature selection based semi-supervised method for image classification
    Tahir, M. A.
    Smith, J. E.
    Caleb-Solly, P.
    COMPUTER VISION SYSTEMS, PROCEEDINGS, 2008, 5008 : 484 - 493
  • [35] A novel semi-supervised framework for UAV based crop/weed classification
    Khan, Shahbaz
    Tufail, Muhammad
    Khan, Muhammad Tahir
    Khan, Zubair Ahmad
    Iqbal, Javaid
    Alam, Mansoor
    PLOS ONE, 2021, 16 (05):
  • [36] Interpretable multiclass classification by MDL-based rule lists
    Proenca, Hugo M.
    van Leeuwen, Matthijs
    INFORMATION SCIENCES, 2020, 512 : 1372 - 1393
  • [37] Semi-Supervised Classification Based on Transformed Learning
    Kang Z.
    Liu L.
    Han M.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2023, 60 (01): : 103 - 111
  • [38] Semi-supervised Classification Based on Clustering Ensembles
    Chen, Si
    Guo, Gongde
    Chen, Lifei
    ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PROCEEDINGS, 2009, 5855 : 629 - 638
  • [39] Semi-supervised learning of hidden conditional random fields for time-series classification
    Kim, Minyoung
    NEUROCOMPUTING, 2013, 119 : 339 - 349
  • [40] Self-labeling techniques for semi-supervised time series classification: an empirical study
    Mabel González
    Christoph Bergmeir
    Isaac Triguero
    Yanet Rodríguez
    José M. Benítez
    Knowledge and Information Systems, 2018, 55 : 493 - 528
12345