Abstract: Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative ...
Abstract: This paper addresses the problem of an adaptive linear combiner when using sample statistics. In this case, the Wiener-Hopf solution can be based on sample covariance matrices and ...
Making library dependency decisions is one of the most consequential architectural choices a software team makes, yet it's routinely made through shallow heuristics biased toward popularity over ...
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