Complex Probabilistic Modeling with Recursive Relational Bayesian Networks

被引：0
|
作者：
Manfred Jaeger
机构：
[1] Max-Planck-Institut für Informatik,
来源：
Annals of Mathematics and Artificial Intelligence | 2001年 / 32卷
关键词：
first-order probabilistic representations; knowledge based model construction; Bayesian networks; temporal and relational models;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A number of representation systems have been proposed that extend the purely propositional Bayesian network paradigm with representation tools for some types of first-order probabilistic dependencies. Examples of such systems are dynamic Bayesian networks and systems for knowledge based model construction. We can identify the representation of probabilistic relational models as a common well-defined semantic core of such systems.
引用
收藏
页码：179 / 220
页数：41
相关论文
共 50 条
  • [31] PROBABILISTIC HORN ABDUCTION AND BAYESIAN NETWORKS
    POOLE, D
    ARTIFICIAL INTELLIGENCE, 1993, 64 (01) : 81 - 129
  • [32] Triangulation of Bayesian networks: A relational database perspective
    Wong, SKM
    Wu, D
    Butz, CJ
    ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS, 2002, 2475 : 389 - 396
  • [33] Relational data analysis based on Bayesian modeling
    NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kyoto-fu, 619-0237, Japan
    J. Inst. Electron. Inf. Commun. Eng., 5 (348-352):
  • [34] Compiling relational Bayesian networks for exact inference
    Chavira, M
    Darwiche, A
    Jaeger, M
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2006, 42 (1-2) : 4 - 20
  • [35] Bayesian neural networks with physics-aware regularization for probabilistic travel time modeling
    Olivier, Audrey
    Mohammadi, Sevin
    Smyth, Andrew W. W.
    Adams, Matt
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2023, 38 (18) : 2614 - 2631
  • [36] Recursive noisy OR - A rule for estimating complex probabilistic interactions
    Lemmer, JF
    Gossink, DE
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (06): : 2252 - 2261
  • [37] Bayesian Markov Logic Networks Bayesian Inference for Statistical Relational Learning
    Nedbal, Radim
    Serafini, Luciano
    AI*IA 2018 - ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, 11298 : 348 - 361
  • [38] Triangulation of Bayesian networks with recursive estimation of distribution algorithms
    Romero, Txomin
    Larrañaga, Pedro
    International Journal of Approximate Reasoning, 2009, 50 (03): : 472 - 484
  • [39] Models for Prediction, Explanation and Control: Recursive Bayesian Networks
    Casini, Lorenzo
    Illari, Phyllis McKay
    Russo, Federica
    Williamson, Jon
    THEORIA-REVISTA DE TEORIA HISTORIA Y FUNDAMENTOS DE LA CIENCIA, 2011, 26 (01): : 5 - 33
  • [40] Recursive Bayesian modelling of time series by neural networks
    Dodd, T
    Harris, C
    NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2, 1999, (470): : 678 - 683
12345