Kernel Density Based Probability Estimation for Data Classifiers
碩士 === 國立臺灣大學 === 統計碩士學位學程 === 107 === This study compares kernel density estimation (KDE) algorithms which is a branch of nonparametric statistics and propose a method to optimize bandwidth selection in Relaxed Variable Kernel Density Estimation (RVKDE) called Elevated RVKDE. KDE methods have fixed...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/9tevm5 |