Classification by density intersection

被引：4

作者：

Baram, Y ^{[1
]}

机构：

[1] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel

来源：

NEURAL PROCESSING LETTERS | 1998年 / 8卷 / 01期

关键词：

D O I：

10.1023/A:1009611427303

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A classification method based on the intersection surface between two parameterized densities is proposed. The densities are obtained from class-labeled data by maximizing the mutual information across a system of integrated Gaussians, but, in practice, only the intersection surface needs to be estimated. The application of the proposed technique is demonstrated by predicting stock behavior.

引用

页码：1 / 8

页数：8

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