Entropy-based active learning SVM for arts multiclass evaluation

被引:0
|
作者
Hebei Normal University of Science & Technology, Qinhuangdao, China [1 ]
不详 [2 ]
机构
来源
J. Comput. Inf. Syst. | / 12卷 / 4517-4522期
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
10.12733/jcis14752
中图分类号
学科分类号
摘要
Classification (of information) - Artificial intelligence - Entropy - Extraction - Learning systems - Pattern recognition
引用
收藏
相关论文
共 50 条
  • [21] An Improved Entropy-Based Multiple Kernel Learning
    Hino, Hideitsu
    Ogawa, Tetsuji
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 1189 - 1192
  • [22] Multiclass SVM active learning algorithm based on decision directed acyclic graph and one versus one
    Xu, Hailong
    Bie, Xiaofeng
    Feng, Hui
    Tian, Ye
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 3): : S6241 - S6251
  • [23] Multiclass SVM active learning algorithm based on decision directed acyclic graph and one versus one
    Hailong Xu
    Xiaofeng Bie
    Hui Feng
    Ye Tian
    Cluster Computing, 2019, 22 : 6241 - 6251
  • [24] Ambiguity-Based Multiclass Active Learning
    Wang, Ran
    Chow, Chi-Yin
    Kwong, Sam
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (01) : 242 - 248
  • [25] Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems
    Szucs, Gabor
    Papp, David
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2022, 34 (05) : 781 - 814
  • [26] Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
    Tan H.S.
    Wang K.
    Mcbeth R.
    Computers in Biology and Medicine, 2024, 176
  • [27] Learning Gaussian Mixture Models With Entropy-Based Criteria
    Penalver Benavent, Antonio
    Escolano Ruiz, Francisco
    Manuel Saez, Juan
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (11): : 1756 - 1771
  • [28] An entropy-based learning hardware organization using FPGA
    Starzyk, J
    Guo, YT
    PROCEEDINGS OF THE 33RD SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2001, : 209 - 213
  • [29] Entropy-based Stability-Plasticity for Lifelong Learning
    Araujo, Vladimir
    Hurtado, Julio
    Soto, Alvaro
    Moens, Marie-Francine
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022, 2022, : 3720 - 3727
  • [30] Entropy-based Sample Selection for Online Continual Learning
    Wiewel, Felix
    Yang, Bin
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1477 - 1481