IAM can obtain certain useful statistical information such as posterior distribution of parameters. By keeping the richness of sample data, IAM is able to reduce the probability of converging at the local optimal area, which advances the quality and speed of final estimators.

  • IAM算法不仅能够获得参数的后验分布等统计信息,而且可以使样本多样性得以丰富和保持,减少收敛于局部最优区域的可能性,提高参数估计的质量和计算速度。

  • 互联网摘选 2025-01-20 12:00:40

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