Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.
数值实验表明,改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力,具有一定的参考价值。
Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.
数值实验表明,改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力,具有一定的参考价值。
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