Surprise minimization as a learning strategy in neural networks

被引：0
|
作者：
Mohammad Javad Faraji
Kerstin Preuschoff
Wulfram Gerstner
机构：
[1] Ecole Polytechnique Federal de Lausanne (EPFL),School of Life Sciences, Brain Mind Institute and School of Computer and Communication Sciences
[2] University of Geneva,Geneva Finance Research Institute
来源：
BMC Neuroscience | / 16卷 / Suppl 1期
关键词：
Learning Strategy; Internal Model; Bayesian Framework; Learning Agent; Inference Technique;
D O I：
10.1186/1471-2202-16-S1-P77
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
    Li, Xingjian
    Xiong, Haoyi
    An, Haozhe
    Xu, Chengzhong
    Dou, Dejing
    NEURAL PROCESSING LETTERS, 2022, 54 (06) : 4735 - 4749
  • [22] AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for neural networks
    Sun, Hao
    Shen, Li
    Zhong, Qihuang
    Ding, Liang
    Chen, Shixiang
    Sun, Jingwei
    Li, Jing
    Sun, Guangzhong
    Tao, Dacheng
    NEURAL NETWORKS, 2024, 169 : 506 - 519
  • [23] Machine learning based predictive maintenance strategy: a super learning approach with deep neural networks
    Butte, Sujata
    Prashanth, A. R.
    Patil, Sainath
    2018 IEEE WORKSHOP ON MICROELECTRONICS AND ELECTRON DEVICES (WMED), 2018, : 1 - 5
  • [24] ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
    Shen, Jiangrong
    Xu, Qi
    Liu, Jian K.
    Wang, Yueming
    Pan, Gang
    Tang, Huajin
    THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 1, 2023, : 86 - 93
  • [25] Comparing Knowledge-Based Reinforcement Learning to Neural Networks in a Strategy Game
    Nechepurenko, Liudmyla
    Voss, Viktor
    Gritsenko, Vyacheslav
    HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2020, 2020, 12344 : 312 - 328
  • [26] A modified learning strategy for neural networks to support spectroscopic ellipsometric data evaluation
    Redei, L
    Fried, M
    Barsony, I
    Wallinga, H
    THIN SOLID FILMS, 1998, 313 : 149 - 155
  • [27] Modified learning strategy for neural networks to support spectroscopic ellipsometric data evaluation
    Redei, Laszlo
    Fried, Miklos
    Barsony, Istvan
    Wallinga, Hans
    Thin Solid Films, 1998, 313-314 (1-2): : 149 - 155
  • [28] Three-phase strategy for the OSD learning method in RBF neural networks
    Montazer, Gh. A.
    Sabzevari, Reza
    Ghorbani, Fatemeh
    NEUROCOMPUTING, 2009, 72 (7-9) : 1797 - 1802
  • [29] NEURAL NETWORKS WITH COUNTER-PROPAGATION LEARNING-STRATEGY USED FOR MODELING
    ZUPAN, J
    NOVIC, M
    GASTEIGER, J
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1995, 27 (02) : 175 - 187
  • [30] NEURAL NETWORKS AND LEARNING
    ABUMOSTAFA, YS
    INSTITUTE OF PHYSICS CONFERENCE SERIES, 1992, (127): : 7 - 12
12345