Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...

Abstract: In order to intelligently select the frequency points of each subnet in the asynchronous dynamic orthogonal networking (ADON), we propose the QMIX algorithm based on dataset aggregation and ...

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...