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Aug, 2023
贝叶斯风险一致性的非参数分类规则对脉冲序列数据的应用
Bayes Risk Consistency of Nonparametric Classification Rules for Spike Trains Data
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Mirosław Pawlak, Mateusz Pabian, Dominik Rzepka
TL;DR
本文研究了基于非参数强度函数的脉冲列数据的两类统计分类问题，并导出了最优贝叶斯规则和插值非参数核分类器，证明了核分类器收敛于贝叶斯规则的性质，并通过有限样本模拟研究来支持得出的结果。
Abstract
spike trains
data find a growing list of applications in computational neuroscience, imaging, streaming data and finance.
machine learning
strategies for
→