The Kolmogorov Lecture: The Universal Distribution and Machine Learning

被引：0
|
作者：
机构：
[1] Solomonoff, Ray J.
来源：
Solomonoff, R.J. (rjs@world.std.com) | 1600年 / Oxford University Press卷 / 46期
关键词：
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
  • [41] Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
    Chen, Chi
    Ye, Weike
    Zuo, Yunxing
    Zheng, Chen
    Ong, Shyue Ping
    CHEMISTRY OF MATERIALS, 2019, 31 (09) : 3564 - 3572
  • [42] Machine Learning as a universal tool for quantitative investigations of phase transitions
    Giannetti, Cinzia
    Lucini, Biagio
    Vadacchino, Davide
    NUCLEAR PHYSICS B, 2019, 944
  • [43] Universal machine learning for the response of atomistic systems to external fields
    Yaolong Zhang
    Bin Jiang
    Nature Communications, 14
  • [44] Universal machine learning potential accelerates atomistic modeling of materials
    Fu, Zhongheng
    Zhang, Dawei
    JOURNAL OF ENERGY CHEMISTRY, 2023, 83 : 1 - 2
  • [45] Universal machine learning for the response of atomistic systems to external fields
    Zhang, Yaolong
    Jiang, Bin
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [46] Putnam's Diagonal Argument and the Impossibility of a Universal Learning Machine
    Sterkenburg, Tom F.
    ERKENNTNIS, 2019, 84 (03) : 633 - 656
  • [47] Universal Machine Learning Kohn-Sham Hamiltonian for Materials
    Zhong, Yang
    Yu, Hongyu
    Yang, Jihui
    Guo, Xingyu
    Xiang, Hongjun
    Gong, Xingao
    CHINESE PHYSICS LETTERS, 2024, 41 (07)
  • [48] PolyNet: A Polynomial-Based Learning Machine for Universal Approximation
    Pukish, Michael S.
    Rozycki, Pawel
    Wilamowski, Bogdan M.
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2015, 11 (03) : 708 - 716
  • [49] Universal approximation and QoS violation application of extreme learning machine
    Chen, Lei
    Zhou, LiFeng
    Pung, Hung Keng
    NEURAL PROCESSING LETTERS, 2008, 28 (02) : 81 - 95
  • [50] Universal Approximation and QoS Violation Application of Extreme Learning Machine
    Lei Chen
    LiFeng Zhou
    Hung Keng Pung
    Neural Processing Letters, 2008, 28 : 81 - 95
12345