Titlebook: Computer Aided Verification; 29th International C Rupak Majumdar,Viktor Kunčak Conference proceedings 2017 Springer International Publishin

带伤害

saturated-fat

Repairing Decision-Making Programs Under Uncertaintyess by rooting it in computational learning theory. For evaluation, we focus on repairing machine learning classifiers with the goal of making them . (fair). Our implementation and evaluation demonstrate our approach’s ability to repair a range of programs.

混合物

我不重要

DECRY

Systemic

公共汽车

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Charitable

adroit