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Showing 1 to 1 of 1 for “"test-time resource constraints"”.

  1. Supervised Machine Learning Under Test-Time Resource Constraints: A Trade-off Between Accuracy and Cost

    … to machine learning research: computational resources must be budgeted and cost must be strictly accounted for during test-time. A typical problem is that if an application consumes x additional units of cost during test-time, but will improve accuracy by y percent, should the additional x …

    wustl Repository record for Supervised Machine Learning Under Test-Time Resource Constraints: A Trade-off Between Accuracy and Cost (opens in a new tab)