BAYESIAN CLASSIFICATION IN A TIME-VARYING ENVIRONMENT

被引：0
|
作者：
SWAIN, PH [1 ]
机构：
[1] PURDUE UNIV,APPLICAT REMOTE SENSING,W LAFAYETTE,IN 47907
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1978年 / 8卷 / 12期
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：879 / 883
页数：5
相关论文
共 50 条
  • [1] CLASSIFICATION OF PROBE SOURCES IN A TIME-VARYING OCEAN ENVIRONMENT
    Song, Hee-Chun
    [J]. OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [2] Dynamic Coverage Control in a Time-Varying Environment Using Bayesian Prediction
    Zuo, Lei
    Shi, Yang
    Yan, Weisheng
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (01) : 354 - 362
  • [3] EVOLUTION IN A TIME-VARYING ENVIRONMENT
    ARMSTRONG, RA
    GILPIN, ME
    [J]. SCIENCE, 1977, 195 (4278) : 591 - 592
  • [4] Adaptive probabilistic neural networks for pattern classification in time-varying environment
    Rutkowski, L
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2004, 15 (04): : 811 - 827
  • [5] Time-varying rankings with the Bayesian Mallows model
    Asfaw, Derbachew
    Vitelli, Valeria
    Sorensen, Oystein
    Arjas, Elja
    Frigessi, Arnoldo
    [J]. STAT, 2017, 6 (01): : 14 - 30
  • [6] Bayesian time-varying quantile regression on exceedance
    do Nascimento, Fernando Ferraz
    Bourguignon, Marcelo
    [J]. STATISTICS, 2022, 56 (06) : 1207 - 1224
  • [7] Bayesian Modelling of Time-Varying Conditional Heteroscedasticity
    Karmakar, Sayar
    Roy, Arkaprava
    [J]. BAYESIAN ANALYSIS, 2021, 16 (04): : 1157 - 1185
  • [8] Bayesian time-varying quantile regression to extremes
    Do Nascimento, Fernando Ferraz
    Bourguignon, Marcelo
    [J]. ENVIRONMETRICS, 2020, 31 (02)
  • [9] BAYESIAN AND MIXED ESTIMATORS OF TIME-VARYING BETAS
    CHEN, SN
    LEE, CF
    [J]. JOURNAL OF ECONOMICS AND BUSINESS, 1982, 34 (04) : 291 - 301
  • [10] Variational Bayesian Estimation of Time-Varying DOAs
    Meyer, Florian
    Park, Yongsung
    Gerstoft, Peter
    [J]. PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020), 2020, : 708 - 713
12345