Bayesian network structure learning using quantum generative models

被引：0
|
作者：
Toyota Central R & amp [1 ]
D Labs., Inc., 41-1 Yokomichi, Aichi, Nagakute, Japan
机构：
[1] Toyota Central R&D Labs.,
[2] Inc.,undefined
来源：
Quantum Mach. Intell. | 2024年 / 2卷 / 2期
关键词：
Quantum generative models; Quantum machine learning; Hybrid quantum-classical machine learning; Bayesian network structure learning; Neural networks;
D O I：
10.1007/s42484-024-00217-5
中图分类号：
学科分类号：
摘要：
Bayesian networks
引用
收藏
相关论文
共 50 条
  • [1] Bayesian network structure learning using quantum annealing
    B. O’Gorman
    R. Babbush
    A. Perdomo-Ortiz
    A. Aspuru-Guzik
    V. Smelyanskiy
    The European Physical Journal Special Topics, 2015, 224 : 163 - 188
  • [2] Bayesian network structure learning using quantum annealing
    O'Gorman, B.
    Babbush, R.
    Perdomo-Ortiz, A.
    Aspuru-Guzik, A.
    Smelyanskiy, V.
    EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2015, 224 (01): : 163 - 188
  • [3] Bayesian Network Structure Learning using Factorized NML Universal Models
    Roos, Teemu
    Silander, Tomi
    Kontkanen, Petri
    Myllymaki, Petri
    2008 INFORMATION THEORY AND APPLICATIONS WORKSHOP, 2008, : 314 - +
  • [4] Hybrid generative-discriminative learning algorithm for Bayesian network structure
    Jin, Xiao-Bo
    Hou, Xin-Wen
    Liu, Cheng-Lin
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 618 - 623
  • [5] ACTIVE LEARNING FOR BAYESIAN NETWORK MODELS OF BIOLOGICAL NETWORKS USING STRUCTURE PRIORS
    Larjo, Antti
    Lahdesmaki, Harri
    2013 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2013), 2013, : 78 - 81
  • [6] Bayesian Network Structure Learning Using Causality
    Xu, Zhen
    Srihari, Sargur N.
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 3546 - 3551
  • [7] Quantum approximate optimization algorithm for Bayesian network structure learning
    Soloviev, Vicente P.
    Bielza, Concha
    Larranaga, Pedro
    QUANTUM INFORMATION PROCESSING, 2022, 22 (01)
  • [8] Quantum approximate optimization algorithm for Bayesian network structure learning
    Vicente P. Soloviev
    Concha Bielza
    Pedro Larrañaga
    Quantum Information Processing, 22
  • [9] Learning the rules of mitochondrial network dynamics using generative models
    Sturm, G.
    Ben Nejma, S.
    Lewis, G.
    Manley, S.
    Marshall, W.
    MOLECULAR BIOLOGY OF THE CELL, 2023, 34 (02) : 116 - 117
  • [10] ShapeOdds: Variational Bayesian Learning of Generative Shape Models
    Elhabian, Shireen
    Whitaker, Ross
    30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 2185 - 2196
12345