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Showing 1 - 20 results of 626 for search '(((( elements method algorithm ) OR ( game learning algorithm ))) OR ( neural coding algorithm ))', query time: 0.52s Refine Results
  1. 1
    Performance comparison of different algorithms in Atari Games.

    Performance comparison of different algorithms in Atari Games. by Liu Liu (512237)

    Published 2025
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  2. 2
    Performance comparison of different algorithms in Atari games.

    Performance comparison of different algorithms in Atari games. by Liu Liu (512237)

    Published 2025
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  3. 3
    Steps of the Logistics Capacity Game Algorithm.

    Steps of the Logistics Capacity Game Algorithm. by Dandan Wang (286632)

    Published 2025
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  4. 4
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  5. 5
    Performance metrics of various algorithms.

    Performance metrics of various algorithms. by Pritam Chakraborty (9261302)

    Published 2025
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  6. 6
    Algorithm comparison - top performances.

    Algorithm comparison - top performances. by Pritam Chakraborty (9261302)

    Published 2025
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  7. 7
    Ranking of features for each algorithm.

    Ranking of features for each algorithm. by Pritam Chakraborty (9261302)

    Published 2025
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  8. 8
    Stage 3 Workshops: Investigating the Learning Mechanics - Game Mechanics (LM-GM) model for the development of digital game-based learning

    Stage 3 Workshops: Investigating the Learning Mechanics - Game Mechanics (LM-GM) model for the development of digital game-based learning by Glen Shearer (9834266)

    Published 2024
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  9. 9
    The method for determining the chemical constituents of unknown materials in the algorithm.

    The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

    Published 2025
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  10. 10
    Algorithm accuracy comparison for each feature.

    Algorithm accuracy comparison for each feature. by Pritam Chakraborty (9261302)

    Published 2025
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  11. 11
    Accuracy scores with various proposed algorithms.

    Accuracy scores with various proposed algorithms. by Pritam Chakraborty (9261302)

    Published 2025
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  12. 12
    Parameters of the machine learning algorithms used in the study.

    Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

    Published 2025
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  13. 13
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  14. 14
    Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.

    Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

    Published 2024
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  15. 15
    Appendices: Reportable Serious Game Mechanics (SGMX): an ontological framework for the analysis and design of digital game-based learning (Vol. 2)

    Appendices: Reportable Serious Game Mechanics (SGMX): an ontological framework for the analysis and design of digital game-based learning (Vol. 2) by Glen Shearer (9834266)

    Published 2024
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  16. 16
    Scatter diagram of different principal elements.

    Scatter diagram of different principal elements. by Jizhong Wang (7441697)

    Published 2025
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  17. 17
    Research on the double-edged effect of intelligent algorithm recommendation on shaping college students' values and the path of collaborative governance

    Research on the double-edged effect of intelligent algorithm recommendation on shaping college students' values and the path of collaborative governance by Ye Geng (22390195)

    Published 2025
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  18. 18
    Non-cooperative game structure.

    Non-cooperative game structure. by Dandan Wang (286632)

    Published 2025
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  19. 19
    The scenario used in Unity environment. Both the agent and target are spawned randomly at the start of the game anywhere in the game environment for each episode.

    The scenario used in Unity environment. Both the agent and target are spawned randomly at the start of the game anywhere in the game environment for each episode. by Enoch Solomon (21416703)

    Published 2025
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  20. 20
    Dynamic game equilibrium convergence performance.

    Dynamic game equilibrium convergence performance. by Dandan Wang (286632)

    Published 2025
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