Evolutionary and Deep Learning Approaches to Accessing Mental Representations

被引:0
|
作者
Maiello, Guido [1 ]
Storrs, Katherine R. [1 ]
Quintus, Alexandra J. [1 ]
Fleming, Roland W. [1 ,2 ,3 ]
机构
[1] Justus Liebig Univ Giessen, Dept Expt Psychol, Giessen, Germany
[2] Univ Marburg, Ctr Mind Brain & Behav, Giessen, Germany
[3] Justus Liebig Univ Giessen, Giessen, Germany
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
引用
收藏
页码:213 / 213
页数:1
相关论文
共 50 条
  • [31] Evolutionary Neural AutoML for Deep Learning
    Liang, Jason
    Meyerson, Elliot
    Hodjat, Babak
    Fink, Dan
    Mutch, Karl
    Miikkulainen, Risto
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19), 2019, : 401 - 409
  • [32] Deep Learning Concepts for Evolutionary Art
    Tanjil, Fazle
    Ross, Brian J.
    COMPUTATIONAL INTELLIGENCE IN MUSIC, SOUND, ART AND DESIGN, 2019, 11453 : 1 - 17
  • [33] Evolutionary Computation Meets Deep Learning
    Ding, Weiping
    Pedrycz, Witold
    Yen, Gary G.
    Xue, Bing
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2021, 25 (05) : 810 - 814
  • [34] Learning Allomorphs and Their Mental Representations: An Investigation with Artificial Grammar Learning
    Hwangbo, Hyun Jin
    JOURNAL OF COGNITIVE SCIENCE, 2023, 24 (01) : 1 - 42
  • [35] Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information during Evolutionary Synthesis of Deep Neural Networks
    Shafiee, M. J.
    Barshan, E.
    Li, F.
    Chwyl, B.
    Karg, M.
    Scharfenberger, C.
    Wong, A.
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), 2017, : 979 - 986
  • [36] Machine learning and deep learning approaches in IoT
    Javed, Abqa
    Awais, Muhammad
    Shoaib, Muhammad
    Khurshid, Khaldoon S.
    Othman, Mahmoud
    PEERJ COMPUTER SCIENCE, 2023, 9 : 1 - 30
  • [37] Machine learning and deep learning approaches in IoT
    Javed A.
    Awais M.
    Shoaib M.
    Khurshid K.S.
    Othman M.
    PeerJ Computer Science, 2023, 9
  • [38] Performance of evolutionary approaches for parallel task scheduling under different representations
    Esquivel, S
    Gatica, C
    Gallard, R
    APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS, 2002, 2279 : 41 - 50
  • [39] Hybrid evolutionary learning approaches for the Virus Game
    Naveed, M. H.
    Cowling, P. I.
    Hossain, M. A.
    2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND GAMES, 2007, : 196 - 202
  • [40] Deep Learning Approaches to Unimodal and Multimodal Analysis of Brain Imaging Data With Applications to Mental Illness
    Calhoun, Vince
    Plis, Sergey
    BIOLOGICAL PSYCHIATRY, 2018, 83 (09) : S82 - S83