A neural networks model representing the subjective probability of combined conditionals

被引：0
|
作者：
Koji, N [1 ]
Masanori, N [1 ]
机构：
[1] Tokyo Inst Technol, Tokyo 152, Japan
来源：
INTERNATIONAL JOURNAL OF PSYCHOLOGY | 2004年 / 39卷 / 5-6期
关键词：
D O I：
暂无
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
引用
收藏
页码：92 / 92
页数：1
相关论文
共 50 条
  • [21] DEEP NEURAL NETWORKS FOR PROBABILITY OF DEFAULT MODELLING
    Georgiou, Kyriakos
    Yannacopoulos, Athanasios N.
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2024, 20 (12) : 3647 - 3677
  • [22] Interpretability of Neural Networks with Probability Density Functions
    Pan, Tingting
    Pedrycz, Witold
    Cui, Jiahui
    Yang, Jie
    Wu, Wei
    ADVANCED THEORY AND SIMULATIONS, 2022, 5 (03)
  • [23] An empirical evaluation of probability estimation with neural networks
    Palocsay, SW
    Stevens, SP
    Brookshire, RG
    NEURAL COMPUTING & APPLICATIONS, 2001, 10 (01): : 48 - 55
  • [24] A fuzzy model for representing uncertain, subjective, and vague temporal knowledge in ontologies
    Nagypál, G
    Motik, B
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2003: COOPIS, DOA, AND ODBASE, 2003, 2888 : 906 - 923
  • [25] REPRESENTING KNOWLEDGE BY NEURAL NETWORKS FOR QUALITATIVE-ANALYSIS AND REASONING
    VAI, MK
    XU, ZM
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1995, 7 (05) : 683 - 690
  • [26] REPRESENTING AND DIAGNOSING DYNAMIC PROCESS DATA USING NEURAL NETWORKS
    VAIDYANATHAN, R
    VENKATASUBRAMANIAN, V
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1992, 5 (01) : 11 - 21
  • [27] Representing Deep Neural Networks Latent Space Geometries with Graphs
    Lassance, Carlos
    Gripon, Vincent
    Ortega, Antonio
    ALGORITHMS, 2021, 14 (02)
  • [28] Representing categories in artificial neural networks using perception-derived feature networks
    Branstrom, RB
    PROCEEDINGS OF THE TWENTY-SECOND ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 2000, : 54 - 59
  • [29] Recurrent neural networks based paraphrase identification model combined with attention mechanism
    Li X.
    Yao C.-L.
    Fan F.-L.
    Yu X.-Q.
    Li, Xu (lixu102@aliyun.com), 1600, Northeast University (36): : 152 - 158
  • [30] Fuzzy combined polynomial neural networks
    Roh, Seok-Beom
    Ahn, Tae-Chon
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT III, PROCEEDINGS, 2007, 4694 : 49 - +
12345