References in zbMATH (referenced in 30 articles )

Showing results 1 to 20 of 30.
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  1. Chen, Xinwei; Ulmer, Marlin W.; Thomas, Barrett W.: Deep Q-learning for same-day delivery with vehicles and drones (2022)
  2. Du, Junliang; Liu, Sifeng; Liu, Yong: A limited cost consensus approach with fairness concern and its application (2022)
  3. Fernandes, Rosário; Furtado, Susana: Efficiency of the principal eigenvector of some triple perturbed consistent matrices (2022)
  4. Chao, Xiangrui; Kou, Gang; Peng, Yi; Viedma, Enrique Herrera: Large-scale group decision-making with non-cooperative behaviors and heterogeneous preferences: an application in financial inclusion (2021)
  5. Csató, László; Petróczy, Dóra Gréta: On the monotonicity of the eigenvector method (2021)
  6. Dazeley, Richard; Vamplew, Peter; Foale, Cameron; Young, Charlotte; Aryal, Sunil; Cruz, Francisco: Levels of explainable artificial intelligence for human-aligned conversational explanations (2021)
  7. Silver, David; Singh, Satinder; Precup, Doina; Sutton, Richard S.: Reward is enough (2021)
  8. Tang, H. S.; Li, L.; Grossberg, M.; Liu, Y. J.; Jia, Y. M.; Li, S. S.; Dong, W. B.: An exploratory study on machine learning to couple numerical solutions of partial differential equations (2021)
  9. Woods, John: The role of the common in cognitive prosperity: our command of the unspeakable and unwriteable (2021)
  10. Bleakley, Chris: Poems that solve puzzles. The history and science of algorithms (2020)
  11. Csató, László; Tóth, Csaba: University rankings from the revealed preferences of the applicants (2020)
  12. Kylasa, Sudhir; Fang, Chih-Hao; Roosta, Fred; Grama, Ananth: Parallel optimization techniques for machine learning (2020)
  13. Mao, Fubing; Ma, Lijia; He, Qiang; Xiao, Gaoxi: Match making in complex social networks (2020)
  14. Srinivasan, Shriram; Cawi, Eric; Hyman, Jeffrey; Osthus, Dave; Hagberg, Aric; Viswanathan, Hari; Srinivasan, Gowri: Physics-informed machine learning for backbone identification in discrete fracture networks (2020)
  15. Tomin, N. V.: The concept of constructing an artificial dispatcher intelligent system based on deep reinforcement learning for the automatic control system of electric networks (2020)
  16. Arridge, Simon; Maass, Peter; Öktem, Ozan; Schönlieb, Carola-Bibiane: Solving inverse problems using data-driven models (2019)
  17. Benning, Martin; Celledoni, Elena; Ehrhardt, Matthias J.; Owren, Brynjulf; Schönlieb, Carola-Bibiane: Deep learning as optimal control problems: models and numerical methods (2019)
  18. Chen, Min; Hao, Yixue; Gharavi, Hamid; Leung, Victor C. M.: Cognitive information measurements: a new perspective (2019)
  19. Csató, László: An impossibility theorem for paired comparisons (2019)
  20. Csató, László: Axiomatizations of inconsistency indices for triads (2019)

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