Analysis of Nonparametric Pattern Recognition Algorithms under Incomplete Data

被引：0
|
作者：
Lapko, A. V. [1 ]
Lapko, V. A. [1 ]
机构：
[1] Russian Acad Sci, Inst Computat Modeling, Siberian Branch, Krasnoyarsk, Russia
来源：
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2008年 / 44卷 / 03期
基金：
俄罗斯基础研究基金会;
关键词：
D O I：
10.3103/S8756699008030072
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The nonparametric pattern recognition algorithms are investigated under incomplete data in the training sample. Requirements on the incomplete data filling methods are formulated by analyzing conditions of their asymptotic convergence.
引用
收藏
页码：238 / 244
页数：7
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