Learning subjective probabilities from a small data set

被引：15

作者：

Moraga, C ^{[1
]}

Huang, CF ^{[1
]}

机构：

[1] Tech Univ Madrid, Dept Artificial Intelligence, Madrid, Spain

来源：

33RD INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC, PROCEEDINGS | 2003年

关键词：

information diffusion; subjective probabilities; sparse data;

D O I：

10.1109/ISMVL.2003.1201428

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method to learn subjective probabilities from sparse data is discussed. The method is based on the principle of Information Diffusion and exhibits a complexity O(n logn). A way of generating families of Information Diffusion functions is discussed. Applications on real data and varying number of samples are shown.

引用

页码：355 / 360

页数：6

共 6 条

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Huang, CF .

INFORMATION SCIENCES, 2002, 142 (1-4) :37-56

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INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2002, 10 (04) :347-362

[5]

HUANG CF, 2002, EFFICIENT FUZZYINFOR

[6]

Huang CF, 2001, LECT NOTES COMPUT SC, V2206, P392

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