Learning possibilistic causal model from data with transformation from probability into possibility

被引:0
|
作者
Department of Management and Information Systems Science, Nagaoka University of Technology, 1603-1, Kami-tomioka, Nagaoka, Niigata 940-2188, Japan [1 ]
机构
来源
WSEAS Trans. Inf. Sci. Appl. | 2006年 / 10卷 / 1885-1892期
关键词
21;
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
  • [1] Learning causal networks from data: a survey and a new algorithm for recovering possibilistic causal networks
    Sanguesa, R
    Cortes, U
    AI COMMUNICATIONS, 1997, 10 (01) : 31 - 61
  • [2] Learning possibilistic networks from data: a survey
    Haddad, Maroua
    Leray, Philippe
    Ben Amor, Nahla
    PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, 2015, 89 : 194 - 201
  • [3] Learning from the territory: Architecture as a possibility of transformation
    Aureliano Silva, Ana Luiza
    Souza de Andrade, Liza Maria
    Nogueira, Caroline Soares
    Machado Cortes, Natalia Maria
    DEARQ, 2023, (35): : 52 - 60
  • [4] Learning from imprecise data: possibilistic graphical models
    Borgelt, C
    Kruse, R
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2002, 38 (04) : 449 - 463
  • [5] IS POSSIBILITY DIFFERENT FROM PROBABILITY
    ZADEH, LA
    HUMAN SYSTEMS MANAGEMENT, 1982, 3 (04): : 253 - 254
  • [6] The possibility of integrative causal analysis: learning from different datasets and studies
    Tsamardinos, Ioannis
    Triantafillou, Sofia
    ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 2009, 17 (2-3): : 163 - 175
  • [7] On Learning Causal Models from Relational Data
    Lee, Sanghack
    Honavar, Vasant
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 3263 - 3270
  • [8] Learning Recursive Probability Trees from Data
    Cano, Andres
    Gomez-Olmedo, Manuel
    Moral, Serafin
    Beatriz Perez-Ariza, Cora
    Salmeron, Antonio
    ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2013, 2013, 8109 : 332 - 341
  • [9] Learning a causal model from household survey data by using a Bayesian belief network
    Torres, FJ
    Huber, M
    INITIATIVES IN INFORMATION TECHNOLOGY AND GEOSPATIAL SCIENCE FOR TRANSPORTATION: PLANNING AND ADMINISTRATION, 2003, (1836): : 29 - 36
  • [10] Causal Learning From Predictive Modeling for Observational Data
    Ramanan, Nandini
    Natarajan, Sriraam
    FRONTIERS IN BIG DATA, 2020, 3