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在最大概率方法中的性能保证规范化:Kullback-Leibler分歧中的测距对称性

Akihisa Ichiki1

  • 1Department of Applied Mathematics, Faculty of Science, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka City 814-0180, Japan.

Physical review. E
|November 18, 2023
PubMed
概括

本研究引入了一种用于最大概率估计的新型规范化方法,其灵感来自错误纠正代码和尺度对称. 它在没有超参数调整的情况下实现最佳概率模型,解决了数据分析中的过度拟合问题.

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