A note on learning for Gaussian properties
A note on learning for Gaussian properties
复制标题
关于学习高斯属性的注意事项
DOI：
--
复制
发表时间：
1965
影响因子：
2.5
通讯作者：
D. Keehn
中科院分区：
文献类型：
--
作者：
D. Keehn
By employing a Bayesian approach to the analysis of learning the probability distribution of property vectors, an estimation likelihood computation scheme for the general Gaussian distribution (quadratic adaptive decision surface) is shown optimum. Some results relating the number of learning samples to Type I misclassification errors are included.
