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This paper uses active learning to solve the problem of mining signal temporal requirements of cyber-physical systems or simply the requirement mining problem. By utilizing robustness degree, we formulate the requirement mining problem as an optimization problem. We then propose a new active learning algorithm called Gaussian Process Adaptive Confidence Bound (GP-ACB) to help in solving the optimization...
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