Showing 181 - 200 results of 423 for search 'error selection algorithm', query time: 0.13s Refine Results
  1. 181

    Flow diagram of the reachable workspace. by Zesheng Wang (15244172)

    Published 2025
    “…Measurement points are then selected uniformly throughout the workspace using the farthest point sampling algorithm. …”
  2. 182

    Size parameters of the 5PUS-RPUR parallel robot. by Zesheng Wang (15244172)

    Published 2025
    “…Measurement points are then selected uniformly throughout the workspace using the farthest point sampling algorithm. …”
  3. 183

    PK subproblem 3. by Zesheng Wang (15244172)

    Published 2025
    “…Measurement points are then selected uniformly throughout the workspace using the farthest point sampling algorithm. …”
  4. 184

    The two recognized basic PK sub-problems. by Zesheng Wang (15244172)

    Published 2025
    “…Measurement points are then selected uniformly throughout the workspace using the farthest point sampling algorithm. …”
  5. 185

    5PUS-RPUR parallel robot system. by Zesheng Wang (15244172)

    Published 2025
    “…Measurement points are then selected uniformly throughout the workspace using the farthest point sampling algorithm. …”
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  17. 197

    Data from an Investigation of Music Analysis by the Application of Grammar-based Compressor by David Humphreys (19079318)

    Published 2024
    “…<br>Average Precision from all attempts to select the correct position of the error.<br>Average Recall from all attempts to select the correct position of the error.…”
  18. 198

    Distinct subpopulations with unique selectivity profiles. by Panagiotis Sapountzis (60096)

    Published 2025
    “…<p>Responses in singleton present and singleton absent displays (example displays shown on top left) were contrasted. (A) Selectivity t-values across time for singleton vs. non-singleton distractors, clustered using the PhenoGraph algorithm in FEF (left) and LIP (right). …”
  19. 199

    Geometric Ergodicity of Trans-Dimensional Markov Chain Monte Carlo Algorithms by Qian Qin (692701)

    Published 2024
    “…The theory herein is applied to reversible jump algorithms for three Bayesian models: a probit regression with variable selection, a Gaussian mixture model with unknown number of components, and an autoregression with Laplace errors and unknown model order. …”
  20. 200

    Covering solutions from running the genetic algorithm with different optimal hyperparameters. by Bettina Soós (10860933)

    Published 2025
    “…Each figure presents a solution of the genetic algorithm, with hyperparameters selected such that solutions are drifted in favor of some of the objectives (high fidelity, high sparsity, or both).…”